Phishing attacks are becoming harder to recognize as cybercriminals use large language models (LLMs) to write convincing messages, impersonate trusted people, and manipulate victims into sharing sensitive information.
Traditional phishing emails often contain spelling mistakes, strange wording, and suspicious links, but modern attacks can look like genuine business conversations.
Understanding LLM phishing attacks defense strategies is becoming increasingly important for businesses, security professionals, and individuals who want to protect their accounts, financial information, and digital identities.
By understanding how attackers use artificial intelligence, recognizing the warning signs, and applying the right security controls, organizations can reduce their exposure to these evolving threats.
For years, phishing awareness training taught employees to look for poor grammar, unusual formatting, and messages from unfamiliar senders. These warning signs remain useful, but they are no longer enough on their own.
Generative AI can help criminals produce polished emails, adapt messages to different languages, and personalize scams using information collected from public websites and social media.
The risk extends beyond email. Attackers may combine AI-generated messages with fake login pages, compromised accounts, fraudulent invoices, and synthetic voices that imitate managers or business partners.
The central challenge is no longer simply identifying badly written emails. It is verifying whether a message, request, or identity can be trusted.
This guide explains how large language models are changing phishing attacks, which techniques criminals use, how to recognize suspicious activity, and what practical defenses businesses and individuals can put in place. It also examines email security controls, authentication technologies, employee training, and incident response practices relevant to the US cybersecurity landscape.
What Are LLM-Powered Phishing Attacks?
Large language models are AI systems trained on large amounts of text to understand and generate human-like language. They can summarize documents, answer questions, translate text, and help users write emails or other content.
Legitimate organizations use these capabilities for customer support, productivity, research, and software development. However, criminals can also misuse similar capabilities to make phishing campaigns more convincing.
LLM-powered phishing occurs when an attacker uses a large language model to help create, personalize, translate, or improve deceptive messages intended to steal information, obtain unauthorized access, or persuade victims to perform actions that benefit the attacker.
These actions may include:
- Sharing passwords or authentication codes.
- Opening malicious links or attachments.
- Approving fraudulent payments.
- Providing confidential business information.
- Installing unauthorized software.
- Granting access to company accounts or systems.
- Changing payment details for a supposed supplier.
The use of an LLM does not fundamentally change the goal of phishing. Instead, it can change how quickly attackers prepare messages, how naturally those messages read, and how easily they can adapt their approach to different victims.
How LLMs Change Traditional Phishing
Traditional phishing campaigns often rely on generic templates sent to large numbers of people. Some are easy to identify because they contain spelling mistakes, awkward sentences, or obvious inconsistencies.
LLMs can reduce these weaknesses by helping attackers produce natural language and adapt messages to specific situations. An attacker might use publicly available information about a company’s management team, services, and business relationships to create a message that appears relevant to an employee’s role.
For example, imagine an employee in a US company’s accounts payable department receives an email that appears to come from a regular supplier.
The message refers to a recent business discussion, uses the supplier’s usual terminology, and requests an update to the bank account associated with an upcoming invoice. Its wording is professional, and the payment amount appears reasonable.
Nothing in the writing immediately suggests a scam.
However, the sender’s address may be slightly different from the supplier’s legitimate domain, or the request may have been sent from a compromised account. If the employee updates the payment information without independently verifying the request, the organization could transfer money directly to a criminal.
AI may help an attacker prepare the message, but the fraud still depends on exploiting trust and bypassing verification procedures.
LLM Phishing Versus Traditional Phishing
These differences are not absolute. Traditional phishing can be sophisticated, and AI-assisted phishing can still contain obvious errors. Attackers do not always need an LLM to conduct an effective campaign.
The important point is that good grammar is not proof of legitimacy. Security controls must evaluate the sender, the message, the requested action, and the surrounding context.
How Attackers Use LLMs to Create Convincing Phishing Messages
LLMs can support several stages of a phishing operation. The precise capabilities available to an attacker depend on the model, the tools being used, and the attacker’s existing knowledge.
The following techniques illustrate why organizations need defenses that go beyond checking email wording.
1. Writing Professional-Looking Phishing Emails
An attacker can use an LLM to improve the grammar, tone, and structure of a deceptive message.
For example, a fraudulent message might pretend to be a routine IT notification about an expiring password or a new security policy. The attacker may want the recipient to visit a fake login page and enter their credentials.
A polished message can make the request seem routine, particularly when it uses familiar company terminology.
Defensive lesson: Do not decide whether an email is legitimate based on its writing quality. Check whether the sender and requested action can be independently verified.
2. Personalizing Messages With Public Information
Many organizations publish employee names, job titles, department information, press releases, and business announcements.
Attackers can combine this information with AI-assisted writing to create messages that appear relevant to specific employees.
For example, a finance employee might receive a message referring to a recent company acquisition, while a human resources employee might receive a fake request concerning a new employee onboarding process.
These details can make the communication feel credible because they match the recipient’s professional environment.
This technique is associated with spear phishing, in which an attacker targets a particular person, role, or organization instead of sending the same generic message to everyone.
Defensive lesson: Treat unexpected requests involving sensitive information, financial transactions, account access, or confidential documents with caution, even when they contain accurate personal or business details.
3. Imitating Communication Styles
Some organizations have recognizable communication patterns. Executives may use short messages, managers may regularly request status reports, and suppliers may follow familiar invoice procedures.
An LLM can help generate text that resembles a particular communication style when an attacker has enough reference material.
However, matching someone’s writing style does not establish that the person actually sent the message. A criminal may also use a compromised account or a display name that resembles a legitimate employee.
For example, an employee receives an urgent message apparently from a senior executive asking for a confidential document before an important meeting.
The message sounds consistent with the executive’s usual communication style. Nevertheless, the request arrives through an unusual channel and asks the employee to bypass the normal document-sharing process.
Defensive lesson: Verify identity and authorization through established procedures, rather than relying on familiarity with a person’s tone or writing style.
4. Translating and Adapting Messages for Different Audiences
International organizations often communicate with employees, customers, and suppliers in several languages.
LLMs can make translation and language adaptation easier, reducing some of the obvious language errors that previously made fraudulent messages easier to recognize.
An attacker may target a regional office with a message written in the language its employees normally use. Another campaign may adapt the wording to match local business customs or familiar service terminology.
This does not mean every translated message is suspicious. It means language quality is becoming a less reliable way to distinguish legitimate communication from fraud.
Defensive lesson: Apply the same identity verification and email security controls regardless of the language used in a message.
5. Supporting Larger Campaigns
AI can reduce the amount of manual writing and editing required to prepare deceptive communications.
An attacker may use automation to organize publicly available information, draft different message variations, or translate content for different audiences. Other tools may be used separately to distribute messages or collect stolen information.
However, an LLM does not automatically provide access to victim accounts, bypass security controls, or guarantee that a campaign will succeed. Those outcomes depend on additional tools, access, and weaknesses in the target’s defenses.
For defenders, the concern is that lower writing and translation costs may allow some attackers to attempt more variations of a scam.
Defensive lesson: Build defenses around measurable security signals and verified behavior, not assumptions about how much effort an attacker invested in writing a message.
Common Types of AI-Powered Phishing Attacks
AI can support several types of phishing, from basic credential theft to targeted financial fraud. Understanding the differences helps employees and security teams recognize the risks associated with each attack.
1. AI-Generated Email Phishing
Email phishing involves sending deceptive messages that encourage recipients to click malicious links, open unsafe attachments, or reveal confidential information.
LLMs can help attackers create messages that resemble legitimate notifications from banks, cloud service providers, delivery companies, software vendors, and internal IT departments.
For example, an employee may receive an email claiming that their Microsoft 365 account requires an immediate security review. The message includes the company’s logo, uses professional language, and directs the employee to a page that resembles the organization’s normal sign-in portal.
The page is fraudulent and collects the credentials entered by the employee.
The attacker may then attempt to use the stolen credentials to access corporate email, shared files, or other business applications.
Warning signs to investigate:
- An unexpected request to sign in or verify an account.
- A link that leads to an unfamiliar domain.
- A request for an authentication code or password.
- A message that creates unnecessary urgency.
- An account notification that cannot be confirmed through the official service.
Employees should access important services through known bookmarks or official applications instead of relying on unexpected links in messages.
2. Spear Phishing Using AI
Spear phishing targets specific people or organizations. Unlike a generic phishing campaign, it uses details that make the message appear relevant to its intended recipient.
AI can help attackers process publicly available information and prepare messages that refer to a person’s role, current projects, professional interests, or business relationships.
Consider a US technology company preparing to launch a new product.
An attacker finds a public announcement about the launch and identifies employees who work in finance, marketing, or product development. The attacker then attempts to impersonate a project manager and sends a message requesting access to a supposedly urgent project document.
The message refers to the correct product name and launch date. Because the details are accurate, the employee may be less suspicious.
This is where spear phishing AI creates a particular challenge: a message can contain genuine information while making a fraudulent request.
Accurate details should never replace identity verification.
Organizations can reduce the risk by limiting unnecessary public exposure of sensitive project information, enforcing access controls, and requiring independent verification for unusual requests.
3. Business Email Compromise (BEC)
Business email compromise is a form of fraud in which criminals impersonate executives, employees, suppliers, or other trusted parties to manipulate business transactions or obtain sensitive information.
BEC can occur through spoofed email addresses, compromised legitimate accounts, or other forms of impersonation.
AI may help criminals write convincing messages, adapt their tone to business relationships, and prepare believable explanations for unusual requests.
For example, a finance employee receives a message apparently from the company’s chief financial officer requesting an urgent wire transfer to complete an acquisition-related payment.
The message appears professional and references a real business project. The employee is instructed to keep the transaction confidential and complete it before the end of the business day.
The request is fraudulent.
If the employee follows the instructions without verification, the money may be transferred to an account controlled by the attacker.
The financial impact of BEC is significant. According to the FBI’s 2025 Internet Crime Report, the FBI Internet Crime Complaint Center (IC3) received 24,768 business email compromise complaints in 2025, with reported losses of approximately $3.05 billion. These figures cover BEC generally and do not mean that all reported cases involved AI. FBI
How businesses can reduce BEC risk
Organizations should establish clear procedures for:
- Verifying changes to supplier bank details.
- Confirming unexpected payment requests through a separate, trusted channel.
- Requiring approval for high-value transactions.
- Separating payment preparation from payment authorization.
- Recording and reviewing changes to financial records.
- Training finance employees to recognize executive impersonation.
A phone call to a previously verified number can prevent a costly mistake. Employees should not rely on contact details supplied in the suspicious message itself.
4. Deepfake Phishing and Voice Impersonation
Deepfake phishing uses manipulated or artificially generated audio, video, or images to imitate a real person.
Although deepfakes are not the same as LLM-generated text, they can be combined with AI-assisted social engineering to make an attack more convincing.
Imagine that an employee receives a video call from someone who appears to be a senior executive. The person asks the employee to approve an urgent payment or share confidential company information.
The employee recognizes the executive’s face and voice and assumes the request is genuine.
However, the caller may be using synthetic media or another form of impersonation.
Attackers can also use voice calls to create pressure, claim that an executive is unavailable, or persuade employees to bypass normal approval procedures.
The central risk is that familiar voices and faces can create a false sense of trust.
Defenses against deepfake phishing
Businesses should establish verification procedures that do not depend entirely on recognizing a person’s voice or appearance.
Useful safeguards include:
- Confirming unusual requests through a separate communication channel.
- Using predefined verification procedures for high-value transactions.
- Requiring multiple authorized approvals for sensitive actions.
- Establishing a code word or other agreed verification method where appropriate.
- Training employees that urgent requests to bypass controls require additional scrutiny.
For remote meetings, organizations should also follow established procedures for granting access, sharing confidential information, and approving financial actions.
A video call should not automatically be treated as proof of identity.
5. AI-Assisted SMS and Messaging App Phishing
Phishing is not limited to email. Criminals also use text messages, messaging applications, collaboration platforms, and social media.
These attacks are often called smishing when they use SMS text messages.
An attacker may impersonate a bank, delivery company, government service, employer, or technical support representative. AI can help adapt the wording to the recipient’s language and the situation being imitated.
For example, an individual receives a text message claiming that a package cannot be delivered because an address needs to be confirmed.
The message includes a link to a website requesting personal information and payment details.
The individual is expecting a delivery and follows the link without checking whether the message came from the legitimate delivery provider.
In a workplace, a similar approach may involve a fake message from a manager asking an employee to purchase gift cards or share an authentication code.
The same security principles apply across communication channels: verify the sender, question unexpected requests, and avoid sharing credentials or sensitive information through untrusted links.
6. Fake IT Support and Account Recovery Scams
Attackers sometimes impersonate internal IT staff or external technology providers.
They may claim that an account has been compromised, a device needs an urgent update, or an employee must complete a security check.
AI can help them produce convincing explanations and respond naturally when victims ask questions.
For example, an employee receives a message from someone claiming to be a member of the company’s IT support team. The person says suspicious activity has been detected and instructs the employee to visit a sign-in page.
The employee enters their credentials, believing they are following an approved security procedure.
The attacker captures the credentials and attempts to access the account.
A related scam involves a fake support representative asking the victim to install remote-access software or approve an authentication request.
Employees should remember that a request presented as a security measure can itself be a security threat.
Organizations should publish official IT support channels and train employees to verify unexpected support requests through those channels.
Why AI-Generated Phishing Emails Can Be Difficult to Detect
LLMs can make some phishing messages more difficult to recognize, but they do not make every attack undetectable.
Understanding the reasons for this change helps security teams choose better detection methods.
Natural Language Removes Some Traditional Warning Signs
Historically, employees were often advised to look for misspellings, poor grammar, and awkward wording.
These signs can still be useful, especially when combined with other indicators. However, an attacker using AI may be able to produce a message that reads naturally and follows common business writing conventions.
A polished email might claim to be from a payroll provider and request that an employee review an updated direct deposit form.
The message may contain no obvious spelling errors. Yet its link could lead to a fraudulent website.
A recipient who relies only on grammar may miss the attack.
What to do instead: Check the sender’s actual email address, inspect the destination of links, verify unexpected requests independently, and follow company procedures for sensitive actions.
Accurate Details Can Create False Confidence
A phishing message may contain the recipient’s correct name, department, manager, or company project.
These details may come from public websites, social media, previously exposed information, or a compromised account.
Their accuracy does not prove that the sender is legitimate.
For example, an attacker may know that an employee recently joined a company and send a message claiming to be part of the onboarding team. The message refers to the correct department and asks the employee to complete a form.
The form may actually collect login credentials or personal information.
Employees should treat unexpected requests involving passwords, payment information, confidential files, or account permissions as verification events, even when the message contains accurate details.
AI Can Help Attackers Adapt to Different Situations
Traditional phishing templates may be reused with only minor changes. LLMs can make it easier to generate different versions of a message for different audiences.
An attacker might prepare variations aimed at finance, human resources, IT support, or senior management.
Each message may use terminology relevant to the intended recipient.
This creates a challenge for defenses that rely too heavily on detecting repeated wording or previously identified templates.
Security systems should also evaluate sender reputation, domain characteristics, authentication results, URL behavior, attachments, and unusual account activity.
Attackers Can Combine Multiple Techniques
A phishing campaign may involve several stages rather than a single suspicious email.
For example:
- The attacker identifies a company employee using public information.
- The attacker sends a believable message about an ongoing business activity.
- The employee clicks a link to a fraudulent sign-in page.
- The attacker captures the employee’s credentials.
- The attacker attempts to access company resources.
- The attacker uses the compromised account to send additional messages or obtain sensitive information.
This sequence is illustrative; not every phishing incident follows the same pattern.
It shows why a single defensive measure is rarely sufficient. Email filtering, phishing-resistant authentication, access controls, employee training, and monitoring can each help interrupt different stages of an attack.
Realistic Examples of AI-Assisted Phishing
The following examples show how an attack may appear to an employee or individual. They are fictional scenarios designed to illustrate defensive lessons.
Example 1: A Fraudulent Payroll Update
Scenario: An employee receives an email claiming to be from the human resources department. The message says payroll information must be reviewed before the next pay cycle.
The email is professionally written and includes the company’s name. A button directs the employee to a page that looks like the normal employee portal.
The employee enters their username and password.
The attacker captures the credentials and attempts to access the account.
Warning signs:
- The request arrives unexpectedly.
- The link leads to an unfamiliar website.
- The employee is asked to enter credentials through an email link.
- The request cannot be confirmed through the normal HR portal.
Best response: The employee should open the official employee portal independently or contact HR through an established channel. If credentials have already been submitted, the employee should report the incident immediately and follow the organization’s account recovery procedures.
Example 2: A Fake Supplier Payment Change
Scenario: A company’s accounts payable team receives an email apparently from a regular supplier. The sender claims that the supplier has changed banks and asks the company to update its payment details before processing an invoice.
The message references a genuine invoice and uses language consistent with previous business correspondence.
The finance employee updates the supplier record without independently confirming the change.
The next payment goes to an account controlled by a criminal.
Warning signs:
- A change to bank details is requested by email.
- The request includes pressure to act quickly.
- The new payment details have not been verified.
- The sender’s address or account activity differs from normal patterns.
Best response: Verify the change using a previously established, trusted phone number or supplier portal. Require an independent approval before changing payment details.
Example 3: A Fake Executive Request Through Messaging
Scenario: An employee receives a message on a workplace collaboration platform from someone using a senior executive’s name and photograph.
The person requests an urgent confidential document and says it is needed for a meeting. The message asks the employee not to involve other team members.
The employee shares the document without checking the request.
The attacker obtains confidential business information.
Warning signs:
- The request bypasses normal access procedures.
- The sender discourages independent verification.
- The requested document contains sensitive information.
- The communication is unusual for the executive or the platform.
Best response: Confirm the request through a separate, trusted channel. Use approved document-sharing tools and grant access only to authorized recipients.
Example 4: A Deepfake Voice Scam
Scenario: An employee receives a phone call from someone who sounds like their manager. The caller says a payment must be completed immediately because a business deadline is approaching.
The employee recognizes the voice and feels pressured to comply.
However, the caller’s identity has not been independently verified.
Warning signs:
- The caller demands urgent action.
- Normal approval procedures are being bypassed.
- The caller requests secrecy.
- The transaction cannot be verified through established business processes.
Best response: End the call and contact the manager using a previously verified number. Follow the organization’s normal payment authorization process.
These examples demonstrate a common pattern: attackers try to create a believable reason for the victim to act before checking whether the request is genuine.
The most reliable defense is to combine technical protection with clear procedures for verifying identity, authorization, and unusual requests.
The Scale of the Phishing Threat in the United States
AI-assisted phishing should be understood within the broader context of cybercrime and online fraud.
The FBI’s 2025 Internet Crime Report recorded 1,008,597 complaints submitted to IC3 and reported losses of nearly $21 billion across cyber-enabled crimes. Phishing and spoofing were among the most frequently reported complaint categories. FBI
These numbers do not measure AI-generated phishing alone. They show the wider environment in which criminals use impersonation, deception, and fraudulent communications to target individuals and organizations.
Businesses face potential losses beyond direct financial theft, including:
- Unauthorized access to corporate accounts.
- Exposure of customer or employee information.
- Business interruption and incident response costs.
- Fraudulent payments to criminals.
- Damage to customer confidence and business relationships.
- Legal, contractual, and regulatory consequences where applicable.
Individuals may face stolen credentials, identity theft, unauthorized transactions, and further scams targeting information obtained during the original incident.
The practical lesson is that phishing protection should not depend on spotting a single suspicious word or recognizing every new AI technique. Effective defense requires a combination of identity verification, secure account access, email protection, employee awareness, and a clear response process.
How to Detect AI-Generated Phishing Emails
Detecting AI-generated phishing requires a combination of technical checks, contextual analysis, and careful decision-making. Because LLMs can produce well-written messages, employees should not rely only on spelling mistakes, unusual grammar, or suspicious-looking formatting.
Instead, they should examine who sent the message, what the sender wants, where links lead, and whether the request fits normal business procedures.
For businesses, phishing detection should involve several layers, including secure email gateways, identity protection, endpoint security, employee reporting, and security monitoring. These controls help identify different stages of an attack, even when the original message appears legitimate.
1. Verify the Sender’s Actual Email Address
One of the first steps in investigating a suspicious email is checking the sender’s full email address.
Attackers may use display names that resemble trusted people or organizations. For example, an email may display the name of a company’s IT department while originating from an unrelated domain.
Some attackers register domains that closely resemble legitimate business domains. Others compromise genuine accounts and use them to send fraudulent messages.
Consider an employee who receives a message displaying the name of their company’s chief financial officer. The sender’s address differs from the executive’s normal address by a small change in the domain.
The display name looks correct, but the underlying address raises a concern.
Employees should compare the sender’s address with a known, legitimate address when the request involves sensitive information or an unusual action.
However, checking the address alone is not sufficient. A message sent from a legitimate account can still be malicious if that account has been compromised.
2. Inspect Links Before Opening Them
Phishing emails frequently contain links to fraudulent websites designed to collect credentials, payment information, or other sensitive data.
An email may display familiar text, such as a company’s name or a button labeled “Review Account.” The actual destination may be a different domain.
Before opening an unexpected link, users should inspect its destination using the features available in their email application. On a desktop, hovering over a link may reveal the destination address, although the exact behavior depends on the application.
Look for:
- Misspelled or unfamiliar domain names.
- Unexpected URL shorteners.
- Domains that imitate a known company.
- Links that do not match the claimed purpose of the message.
- Requests to enter credentials after following an unsolicited link.
- Unexpected redirects to unfamiliar websites.
For example, an email may claim to come from a cloud storage provider but direct the recipient to a domain unrelated to that provider.
The safest approach is to open the service through a known bookmark or manually enter its established address instead of following the email link.
Important: A link that appears legitimate is not guaranteed to be safe. Legitimate websites can be compromised, and attackers may use redirects or other techniques to disguise their destinations.
3. Examine the Request, Not Just the Message
The action requested by an email often provides a stronger warning than its wording.
A professional-looking message may ask an employee to:
- Change a supplier’s bank details.
- Transfer money urgently.
- Share confidential documents.
- Approve an unexpected authentication request.
- Disable a security control.
- Reveal a password or one-time verification code.
- Install software outside approved IT procedures.
These requests deserve additional scrutiny because they involve financial risk, access to sensitive information, or changes to security controls.
Imagine that a manager sends an employee a request to share a confidential report. The manager’s name and email address appear correct, but the request is unusual and bypasses the company’s normal document approval process.
The employee should verify the request through an independent channel before sharing the report.
This principle applies even when the message comes from a colleague whose account is known to be legitimate.
4. Recognize Pressure and Emotional Manipulation
Phishing attacks often attempt to influence the victim’s emotions.
Attackers may create a sense of urgency, fear, curiosity, authority, or financial opportunity. AI-assisted writing can make these messages sound more natural and relevant to the recipient.
Common pressure tactics include:
- Urgency: “Your account will be suspended today.”
- Authority: “The CEO needs this payment completed immediately.”
- Fear: “Your account has been accessed by an unauthorized person.”
- Secrecy: “Do not discuss this request with anyone else.”
- Opportunity: “You have been selected for a special payment or reward.”
These phrases do not automatically indicate phishing. Legitimate organizations sometimes send urgent notifications, and business deadlines are real.
The warning sign is the combination of pressure and a request that bypasses normal verification procedures.
Employees should be encouraged to pause and check unexpected requests instead of feeling that they must comply immediately.
5. Check Email Headers and Authentication Results
Security professionals can inspect email headers to investigate how a message was transmitted and whether authentication checks succeeded.
Email headers may contain information about the sending infrastructure, message routing, and authentication results.
Useful indicators include:
- The sending domain.
- SPF authentication results.
- DKIM signature verification.
- DMARC evaluation.
- Differences between the visible sender and authenticated domains.
- Unexpected sending infrastructure.
- Unusual message routing or account activity.
A message that fails authentication checks may warrant further investigation. However, authentication failures can also occur because of legitimate email forwarding, configuration mistakes, or other technical issues.
Similarly, a message that passes authentication is not necessarily safe. A criminal who compromises a legitimate account may send malicious messages that pass the organization’s normal email authentication checks.
Security teams should evaluate authentication results alongside sender reputation, message content, URLs, attachments, and the recipient’s normal communication patterns.
6. Look for Unusual Attachments and File Requests
Phishing messages may contain attachments that attempt to steal information, deliver malicious software, or persuade recipients to enable unsafe functionality.
Potential warning signs include:
- Unexpected files from unknown senders.
- Documents requesting that macros or other active content be enabled.
- Archive files that have no clear business purpose.
- Unexpected executable files or scripts.
- Password-protected attachments delivered without an established reason.
- Files that claim to be invoices or documents but have unusual formats.
An attachment does not have to contain malware to be dangerous. A PDF or document can simply direct the recipient to a fraudulent website or encourage them to disclose sensitive information.
Organizations should use appropriate email attachment scanning, endpoint protection, and safe file-handling procedures.
Employees should avoid enabling active content or installing software merely because an email claims it is required to view a document.
A Practical AI Phishing Detection Checklist
The following checklist can help employees and individuals evaluate an unexpected message before acting on it.
No individual check will detect every phishing attempt. The purpose of the checklist is to encourage a consistent process that reduces the chance of acting on a deceptive message.
For businesses, the checklist should be part of a broader security program rather than a replacement for technical controls.
Technical Phishing Detection Methods for SOC Analysts
Security Operations Center (SOC) analysts need a more detailed approach than simply reviewing the visible text of a message.
An investigation should combine email metadata, authentication results, URL and attachment analysis, threat intelligence, identity logs, and endpoint activity where relevant.
1. Analyze Message Metadata
SOC analysts can review message headers and mail platform logs to determine where a message originated, how it was routed, and whether its characteristics match normal business communications.
Depending on the email platform, useful fields may include:
- Sender and recipient addresses.
- Message identifiers.
- Sending IP addresses.
- Received headers.
- SPF, DKIM, and DMARC results.
- URL and attachment details.
- Delivery and filtering decisions.
- Related messages from the same sender.
Analysts should be careful when interpreting individual fields. For example, a sending IP address may belong to a legitimate cloud email service, while the account using that service may be compromised.
The goal is to establish the message’s provenance and identify evidence that supports or contradicts its apparent legitimacy.
2. Investigate URLs and Domains
URL analysis can help determine whether a message directs users to a known malicious destination or an unusual domain.
Security teams may examine:
- Domain registration and reputation information.
- DNS records and hosting details.
- Redirect behavior.
- Certificate and domain characteristics.
- Threat intelligence reports.
- Whether the destination is associated with credential collection or malicious content.
Domain age can be a useful investigative signal, but it is not proof of malicious activity. Newly registered domains can be legitimate, and established domains can be compromised.
Analysts should use approved security tools and safe analysis environments. They should not open suspicious links on production systems simply to see what happens.
3. Correlate Email Events With Identity Logs
Some of the strongest evidence of a successful phishing attack appears after the email has been delivered.
For example, an employee may click a link and submit credentials to a fraudulent website. The attacker then attempts to sign in to the employee’s account from an unfamiliar location or device.
Other indicators may include:
- Repeated failed login attempts.
- Unexpected successful sign-ins.
- New authentication methods being registered.
- Unusual session activity.
- Unexpected mailbox forwarding rules.
- Suspicious changes to account permissions.
- Unexpected access to confidential files.
These signals should be interpreted in context. An unfamiliar sign-in location may result from legitimate travel, a VPN, or a cloud service. An unusual forwarding rule may have a valid business purpose.
When multiple indicators appear together, however, they may justify immediate investigation.
4. Use Behavioral Detection
Behavioral detection looks for activity that differs from a user’s normal patterns or violates established security policies.
For example, an employee who usually accesses a small set of business applications may suddenly attempt to download large volumes of sensitive files after an unusual sign-in.
A behavioral detection system might flag this activity for investigation.
Other useful signals include unusual payment approval activity, suspicious OAuth application consent, unexpected mailbox changes, or access to systems that the account does not normally use.
Behavioral detection complements message inspection because it can identify suspicious activity even when the original phishing email looks legitimate.
Organizations should establish clear investigation procedures and tune detection rules to reduce unnecessary alerts while preserving visibility into high-risk activity.
Email Security Controls That Reduce Phishing Risk
Email security controls help organizations identify, block, and investigate malicious messages before they cause harm. Because AI-assisted phishing can produce convincing text, organizations should use multiple layers of protection rather than relying on a single spam filter.
A strong email security program combines sender authentication, malicious link detection, attachment scanning, impersonation protection, account security, and user reporting.
1. Deploy a Secure Email Gateway
A secure email gateway examines incoming and outgoing email to identify spam, phishing attempts, malicious attachments, and other threats.
Depending on the product, it may evaluate sender reputation, message content, authentication results, URL destinations, and known indicators of compromise.
When a suspicious message is detected, the system may block it, move it to quarantine, display a warning, or allow it to be delivered with additional controls.
For example, if a message claims to come from a supplier but contains a link associated with a known credential theft campaign, an email security platform may identify the threat and prevent delivery.
Modern email protection platforms can also use machine learning and behavioral signals to identify suspicious patterns that simple keyword filters may miss.
However, no email gateway catches every attack. A malicious message may come from a compromised legitimate account, use a newly created domain, or contain a link that was harmless when the message was first scanned.
Recommended practices:
- Enable the email provider’s built-in spam and phishing protection.
- Configure anti-impersonation policies for executives and important business partners.
- Use safe link and attachment analysis features where available.
- Review quarantined messages and detection alerts regularly.
- Establish a process for users to report suspicious emails.
- Test security configurations without creating unnecessary disruption to legitimate business communications.
Organizations using Microsoft 365 can review the official documentation for Microsoft Defender for Office 365 anti-phishing protection. Its documented capabilities include spoof detection, impersonation protection, and phishing investigation features, depending on the organization’s licensing and configuration. Microsoft Learn
2. Protect Against Malicious Links and Attachments
Email filtering should be supported by endpoint protection and appropriate web security controls.
Link protection may evaluate a URL when a message arrives and check it again when a user clicks it. This can help identify destinations that become malicious after the email has been delivered.
Attachment protection may inspect files for known malware, suspicious behavior, or other indicators of risk. Some products can analyze files in isolated environments before allowing users to access them.
Organizations should also restrict dangerous file types when they are not needed for business purposes and prevent users from running unauthorized software.
For example, if an employee receives an unexpected document that attempts to download additional content or asks the user to enable active functionality, security controls should reduce the likelihood that the action will lead to malware execution.
These measures are useful against phishing campaigns that attempt to install ransomware, steal information, or establish unauthorized access.
Nevertheless, security teams should remember that some phishing attacks rely entirely on social engineering. A fraudulent message may lead to a fake payment page without delivering any malware.
3. Configure Anti-Impersonation Protection
Some email platforms allow administrators to identify important people and domains that attackers are likely to impersonate.
These protections can help flag messages that claim to come from an executive, finance employee, supplier, or trusted external organization.
For instance, a company may configure additional protection for its CEO, CFO, payroll team, and frequently used supplier domains.
If an incoming message resembles a protected identity but appears to originate from an unexpected source, the email platform may apply a warning or other configured action.
Microsoft’s documentation explains how administrators can configure impersonation protection and related anti-phishing policies in supported Microsoft 365 environments. Microsoft Learn
This control is particularly useful for organizations that frequently handle financial transactions or confidential information.
However, impersonation protection must be maintained. Security teams should review protected identities, permitted senders, and exceptions as business relationships change.
4. Apply the Principle of Least Privilege
The principle of least privilege means giving users and systems only the access necessary to perform their duties.
It does not prevent an attacker from sending a convincing phishing email. Instead, it limits the damage that may occur if a message leads to a compromised account.
For example, an employee in the marketing department should not automatically have access to payroll records, financial approval systems, or sensitive engineering repositories.
Similarly, an ordinary user account should not have permanent administrative privileges unless those privileges are required.
Organizations can strengthen this control by:
- Reviewing user permissions regularly.
- Removing access that is no longer required.
- Using separate administrative accounts.
- Requiring additional approval for sensitive operations.
- Restricting access to confidential documents.
- Monitoring unusual access to critical systems.
If an attacker compromises an account, these measures can make it harder to move into other systems or obtain information unrelated to the employee’s role.
5. Monitor Email Accounts for Suspicious Changes
Attackers who compromise an email account may attempt to maintain access or use it to deceive additional victims.
Possible warning signs include unexpected mailbox forwarding rules, unfamiliar delegated access, suspicious application permissions, or messages sent without the account owner’s knowledge.
For example, a criminal may create a mailbox rule that forwards certain messages to an external address. The rule could expose invoices, password reset notifications, or confidential business discussions.
Security teams should monitor for unusual mailbox changes and investigate unexpected activity.
Where supported, alerts should be generated for changes that affect sensitive accounts, external forwarding, authentication settings, and access to business-critical information.
These controls are important because a compromised account can make a phishing message appear more trustworthy than one sent from an unrelated domain.
Email Authentication: SPF, DKIM, and DMARC Explained
Email authentication is an important part of email security. It helps receiving systems evaluate whether messages are authorized to use a domain and whether relevant message integrity checks succeed.
Three commonly used standards are SPF, DKIM, and DMARC. They serve different purposes and work together to reduce certain types of email spoofing.
The National Institute of Standards and Technology (NIST) discusses these technologies in its guidance on trustworthy email and email authentication. NIST Computer Security Resource Center
What Is SPF?
Sender Policy Framework (SPF) allows a domain owner to publish information about which mail servers are authorized to send email for the domain used in the SPF check.
Receiving email systems can compare the sending server with the domain’s published policy.
For example, a company may authorize its corporate email provider to send messages on behalf of a particular domain. SPF helps receiving systems determine whether the sending server is authorized under the relevant SPF record.
SPF can help reduce some forms of sender forgery, but it has limitations.
It does not establish that the person who wrote a message is trustworthy. It also does not independently guarantee that the visible address in an email is authenticated in the way a recipient might assume.
Best practice: Maintain accurate SPF records, include all legitimate sending services, and remove obsolete authorizations. Avoid creating multiple SPF records for the same domain, and test changes carefully.
What Is DKIM?
DomainKeys Identified Mail (DKIM) uses a cryptographic signature to help a receiving system verify that a message was signed by a domain using a corresponding private key and that the signed portions of the message have not been changed in a way that invalidates the signature.
The receiving system can use the public key published in the signing domain’s DNS records to verify the signature.
DKIM helps establish a connection between a message and a signing domain. It does not prove that the sender’s business request is legitimate.
For example, a genuine company email may pass DKIM authentication, but if an attacker has compromised an employee’s mailbox, the attacker may still be able to send fraudulent messages through the legitimate service.
Best practice: Enable DKIM for legitimate email services, protect signing keys, and investigate unexpected signing failures.
What Is DMARC?
Domain-based Message Authentication, Reporting, and Conformance (DMARC) builds on SPF and DKIM to help domain owners specify how receiving systems should handle messages that fail DMARC evaluation.
DMARC evaluates whether SPF or DKIM authentication aligns with the domain visible in the message’s From address.
Domain owners can publish policies that tell receiving systems to take no special action, quarantine messages that fail the policy, or reject them. DMARC reporting can also help organizations understand how their domains are being used to send email.
For example, a business that owns example.com may publish a DMARC policy to help protect its domain from unauthorized use by other senders.
An attacker who tries to impersonate the domain may then face stronger defenses at receiving email systems that honor the published policy.
Best practice: Start by collecting and reviewing DMARC reports, identify legitimate sending services, correct authentication and alignment problems, and move toward quarantine or rejection policies when the organization is ready.
SPF vs. DKIM vs. DMARC
These technologies are complementary rather than interchangeable.
A company should implement all three correctly and monitor their results as part of its wider email security program.
For official technical guidance, consult the NIST publications on SPF, DKIM, and DMARC email authentication and trustworthy email security.
What SPF, DKIM, and DMARC Cannot Do
Email authentication is valuable, but it is not a complete phishing defense.
It does not establish that every authenticated sender is a trustworthy person or that every authenticated message contains legitimate instructions.
For example, a criminal who takes over a real supplier’s mailbox may send a fraudulent invoice from the supplier’s actual account. That message may pass the supplier’s email authentication checks.
Similarly, a malicious message sent through a properly authenticated service may still contain a deceptive link.
This is why email authentication must be combined with identity protection, anti-phishing controls, behavioral detection, and verification procedures for sensitive actions.
Multi-Factor Authentication and Identity Protection
Even when a phishing message reaches a user’s inbox, strong identity protection can reduce the chance that stolen credentials will lead to a successful account takeover.
Multi-factor authentication (MFA) requires users to provide additional proof of identity beyond a password. Depending on the method, this may involve a security key, an authenticator application, a device-based credential, or another verification method.
MFA is an important security control, but not all MFA methods provide the same level of protection against phishing.
Why MFA Matters
Suppose an employee enters their password into a fraudulent website.
If the account relies only on a password, the attacker may be able to use the stolen credential to sign in.
With MFA enabled, the attacker may also need to satisfy an additional authentication requirement.
This adds another layer of protection, but some attacks are designed to capture or relay authentication codes or trick victims into approving fraudulent login requests.
Organizations should therefore select authentication methods based on the sensitivity of the accounts and the threats they face.
Prefer Phishing-Resistant Authentication
Where practical, organizations should prioritize phishing-resistant MFA, particularly for administrators, executives, finance employees, and users with access to sensitive systems.
Examples include FIDO2 security keys and supported passkey implementations that bind authentication to the legitimate website or service.
This makes it harder for a fraudulent website to capture a reusable credential and use it to authenticate to the genuine service.
CISA recommends using stronger authentication methods and highlights phishing-resistant MFA as a particularly valuable protection. Deja Vu
Useful steps include:
- Require MFA for all business accounts where supported.
- Prioritize phishing-resistant methods for privileged and high-risk users.
- Disable legacy authentication methods that bypass modern controls where possible.
- Monitor repeated authentication failures and unusual sign-ins.
- Train users to reject unexpected authentication prompts.
- Protect account recovery procedures from social engineering.
Reduce the Risk of Session Theft
Some phishing attacks attempt to steal active session tokens rather than simply collecting passwords.
A session token may allow an attacker to reuse an authenticated session, depending on the service and the token’s properties.
MFA alone does not eliminate every form of session theft.
Organizations should combine strong authentication with endpoint protection, conditional access controls, secure session management, device security, and monitoring for unusual account activity.
If a compromise is suspected, security teams should revoke active sessions and refresh tokens where supported, reset affected credentials as appropriate, and investigate the activity that led to the incident.
Password resets alone may not be sufficient if an attacker still has a valid session or has established another method of access.
Anti-Phishing Tools and Security Technologies Worth Considering
Organizations should select anti-phishing tools based on their size, existing technology, risk exposure, budget, and operational needs.
A small business may benefit most from configuring the security features already included with its email provider. A large enterprise may require advanced email protection, endpoint detection and response, identity monitoring, a security information and event management (SIEM) platform, and a dedicated incident response process.
No single product can guarantee protection against every phishing attack. The objective is to create overlapping controls that can prevent, detect, and contain different types of threats.
1. Microsoft Defender for Office 365
Microsoft Defender for Office 365 provides email and collaboration security capabilities for supported Microsoft 365 environments.
Depending on the license and configuration, capabilities include anti-phishing policies, impersonation protection, malicious link and attachment defenses, investigation features, and phishing simulation training. Microsoft Learn
It may be a suitable option for organizations that already use Microsoft 365 and want to strengthen their existing email security controls.
Recommended use cases:
- Protecting executive and finance mailboxes against impersonation.
- Investigating suspicious messages.
- Detecting malicious links and attachments.
- Reviewing phishing campaigns targeting employees.
- Running security awareness exercises.
Administrators should review licensing requirements and configure the available controls according to their organization’s risks.
2. Google Workspace Security
Organizations using Google Workspace should review the security protections available for their Gmail environment, including spam and phishing filtering, suspicious message warnings, account protection, and administrative security controls.
Official documentation is available through Google Workspace security guidance.
Administrators should confirm which features are available under their subscription and configure them appropriately.
Useful measures include enforcing MFA, protecting administrative accounts, monitoring suspicious account activity, and establishing procedures for reporting phishing messages.
3. Endpoint Detection and Response
Endpoint detection and response (EDR) tools monitor activity on computers and other supported devices to help identify and investigate threats.
EDR can be useful when a phishing message leads to a malicious download, suspicious process execution, or another endpoint-related security event.
For example, an employee may click a phishing link that leads to a malicious download. An endpoint security platform may detect suspicious behavior and help the security team investigate the affected device.
However, EDR is not a replacement for email filtering or identity protection. A phishing attack that only steals credentials through a website may not cause the endpoint activity that an EDR tool is designed to detect.
4. SIEM and Security Monitoring Platforms
A SIEM platform collects and analyzes security events from multiple systems, such as email services, identity providers, endpoints, firewalls, and cloud applications.
Security teams can use this information to identify relationships between events that might otherwise appear unrelated.
For example, a suspicious email may be followed by an unusual sign-in, a new mailbox forwarding rule, and unexpected downloads of confidential files.
A SIEM can help analysts correlate these events and investigate whether they indicate a compromised account.
The value of a SIEM depends on the quality of its data sources, detection rules, alert tuning, and incident response processes. Simply deploying a platform does not guarantee that threats will be detected.
5. Phishing Awareness and Simulation Platforms
Security awareness platforms help organizations educate employees about phishing, social engineering, and safe handling of sensitive information.
Depending on the platform, they may provide training courses, simulated phishing campaigns, reporting exercises, and progress tracking.
The purpose should be to improve security behavior rather than embarrass employees who make mistakes.
A useful program measures whether employees recognize suspicious requests, report them promptly, and follow verification procedures.
Comparing Anti-Phishing Technologies
For most organizations, the best approach is to integrate these technologies into a security program with clear responsibilities and tested response procedures.
User Awareness Training: Preparing People for AI Phishing
Technology can block many phishing attempts, but employees still play an important role in recognizing unusual requests and reporting suspicious activity.
Traditional awareness training often focuses on spotting suspicious links, identifying unknown senders, and avoiding unexpected attachments. Those skills remain useful, but training should also address impersonation, financial fraud, credential theft, and requests that appear to come from trusted colleagues.
The goal is to teach employees how to verify requests, not simply how to recognize suspicious writing.
1. Teach Employees to Verify Unusual Requests
Employees should understand which requests require additional verification.
Examples include:
- Changes to supplier bank details.
- Unusual payment instructions.
- Requests for passwords or authentication codes.
- Unexpected access to confidential documents.
- Requests to disable security controls.
- Instructions to bypass normal approval procedures.
Organizations should make verification straightforward. Employees should know whom to contact, which channels to use, and how to report suspicious requests without fear of being blamed for raising a concern.
2. Run Realistic Phishing Simulations
Phishing simulations can help employees practice identifying suspicious messages in a controlled environment.
For example, an organization may conduct a simulation involving a fake password reset notification or a suspicious document-sharing request.
The purpose is to determine whether employees recognize the warning signs, report the message, and follow the correct procedure.
Simulation results can help identify gaps in training and improve future exercises.
However, simulation campaigns should be designed carefully. They should avoid collecting real passwords, exposing sensitive personal information, or creating unnecessary stress.
Organizations should use the results to improve their security processes rather than treating every mistake as an employee failure.
3. Train Employees to Recognize Deepfake and Voice Scams
Employees should know that an apparently familiar voice or face is not sufficient proof of identity.
Training should cover scenarios in which someone claiming to be an executive requests an urgent payment, confidential information, or a change to normal business procedures.
The employee should be encouraged to verify the request through an independent channel and follow established approval requirements.
For financial transactions, organizations should consider requiring separate approval and out-of-band verification regardless of how convincing the caller appears to be.
4. Make Reporting Easy
Employees are more likely to report suspicious activity when the process is simple and well understood.
Organizations can provide a dedicated phishing-reporting button in supported email applications, a security reporting address, or a clear help desk procedure.
Employees should be encouraged to report suspicious messages even when they are uncertain whether the message is malicious.
Security teams can use reports to identify additional recipients, search for similar messages, block malicious domains, and remove threats from other mailboxes.
Fast reporting can help prevent one suspicious email from becoming a wider incident.
5. Measure the Effectiveness of Training
Attendance alone does not demonstrate that awareness training is working.
Organizations should evaluate measures such as:
- The percentage of employees who report simulated phishing messages.
- The time taken to report suspicious messages.
- The percentage of users who interact with simulated malicious links.
- The number of repeat incidents.
- The speed of security team investigation.
- Employee understanding of payment and identity verification procedures.
These metrics should be interpreted in context. For example, a rise in reported phishing messages may reflect better employee awareness rather than an increase in successful attacks.
A mature program combines training results with technical security metrics and incident reviews.
A Practical Phishing Detection and Response Workflow
A documented workflow helps employees and SOC analysts respond consistently when a suspicious message arrives.
The following process can be adapted to small businesses, enterprise security teams, and organizations using cloud email platforms.
Step 1: Identify and Report the Suspicious Message
Employees should avoid clicking links, opening unexpected attachments, replying to suspicious messages, or providing sensitive information.
They should report the message through the organization’s approved process.
Security teams should preserve relevant evidence, including the original message and its headers, where possible.
Step 2: Assess the Threat
The security team should examine the sender, message content, URLs, attachments, authentication results, and any relevant threat intelligence.
The investigation should establish whether the message is likely to be legitimate, suspicious, or malicious.
If the message targets a sensitive account or requests a financial transaction, the team should prioritize the investigation according to the potential impact.
Step 3: Determine the Scope
Analysts should search for similar messages across the organization.
This may involve checking message identifiers, sender addresses, subject lines, URLs, attachment hashes, and other available indicators.
The purpose is to determine whether the message reached other employees and whether anyone interacted with it.
Step 4: Contain the Threat
If the message is confirmed to be malicious, the security team should take appropriate containment actions.
These may include:
- Removing the message from affected mailboxes.
- Blocking confirmed malicious URLs or domains.
- Quarantining related messages.
- Restricting compromised accounts.
- Revoking suspicious sessions.
- Isolating affected endpoints when necessary.
Containment decisions should consider business impact and the possibility of disrupting legitimate communications.
Step 5: Investigate Possible Compromise
The team should determine whether anyone clicked the link, opened an attachment, submitted credentials, approved an authentication request, or transferred money.
Relevant investigations may include reviewing identity logs, endpoint alerts, mailbox rules, application permissions, and access to sensitive files.
If credentials were exposed, the response may require credential resets, session revocation, review of MFA settings, and additional account recovery actions.
Step 6: Document and Improve
After the incident, the organization should document what happened, how the attack was detected, which controls worked, and which weaknesses need to be addressed.
The findings may lead to updated email policies, improved authentication, revised payment verification procedures, or additional employee training.
For further guidance, businesses can consult NIST’s phishing guidance for small businesses, which recommends employee reporting, email filtering, security software, and email authentication as practical protections. NIST
A consistent workflow helps organizations respond to phishing incidents without relying on improvised decisions during a security event.
How Businesses Can Build a Layered Defense Against LLM-Powered Phishing
Protecting an organization from AI-assisted phishing requires more than purchasing an email security product or conducting an annual awareness course. Businesses need a coordinated security strategy that combines technology, employee behavior, identity protection, financial controls, and incident response.
The goal is to prevent as many attacks as possible, identify suspicious activity quickly, and limit the damage if an attacker succeeds.
For US organizations, this approach should reflect the company’s size, industry, regulatory obligations, business processes, and exposure to financial fraud. A small business with a few dozen employees may need a different set of controls from a large enterprise, but both can benefit from strong authentication, secure email configuration, clear verification procedures, and reliable backups.
1. Start With a Risk Assessment
Before purchasing new security tools, organizations should identify their most important assets and the people most likely to be targeted.
These may include:
- Executive and administrative accounts.
- Finance and accounts payable teams.
- Human resources and payroll systems.
- Customer databases.
- Intellectual property and confidential business documents.
- Cloud administration accounts.
- Supplier and customer communication channels.
- Systems used to approve payments or change bank details.
The organization should then assess how a phishing attack could affect each asset.
For example, a compromised marketing account may expose customer communications or allow fraudulent messages to be sent. A compromised finance account may create a direct path to financial fraud. A compromised administrator account could expose a much wider range of systems.
Prioritize protection according to potential impact, not simply the number of employees involved.
A practical risk assessment should document the assets at risk, likely attack scenarios, existing safeguards, control gaps, responsible owners, and deadlines for improvement.
2. Establish Clear Rules for Sensitive Requests
Many phishing attacks succeed because a message persuades someone to bypass an established business process.
Organizations should create clear procedures for high-risk actions, including:
- Changing supplier payment details.
- Approving large or unusual financial transactions.
- Sharing confidential documents.
- Resetting privileged accounts.
- Granting access to business applications.
- Changing payroll information.
- Approving new applications or integrations.
For example, a company might require two authorized employees to approve a payment above a defined threshold. A request to change supplier bank details might require confirmation through a previously verified telephone number.
These controls reduce reliance on a single person’s judgment when faced with an urgent or convincing request.
Procedures should also address executive impersonation. Employees must be allowed to verify a request from a senior leader without fear of being criticized for delaying an urgent task.
3. Protect High-Risk Users First
Not every account has the same level of access or financial impact.
Organizations should prioritize stronger controls for executives, finance personnel, IT administrators, payroll employees, and others who can authorize payments or access sensitive information.
Useful measures include:
- Phishing-resistant MFA where supported.
- Separate administrative accounts.
- Restricted access to sensitive systems.
- Conditional access policies.
- Monitoring of privileged account activity.
- Strong account recovery procedures.
- Regular reviews of permissions and authentication methods.
These controls help reduce the likelihood that one successful phishing attempt will lead to a wider compromise.
4. Create a Centralized Phishing Reporting Process
Every organization should provide a simple way for employees to report suspicious messages.
The process may involve a reporting button in the email application, a dedicated security mailbox, or an internal help desk procedure.
The security team should define who receives reports, how urgent incidents are escalated, and how employees are informed about the outcome.
A centralized reporting process can also reveal campaigns that target multiple employees or use several communication channels.
For example, if five employees report similar messages claiming to come from a cloud service provider, the security team can investigate the shared sender, destination domain, and campaign characteristics.
This information may support additional filtering rules, mailbox searches, and employee warnings.
5. Build a Measurable Security Program
Businesses should evaluate whether their defenses are working instead of assuming that deployed tools provide adequate protection.
Useful measurements include:
These measures should be interpreted carefully. A high reporting rate may reflect an effective awareness program, while a low rate could mean employees are missing attacks or do not know how to report them.
The objective is to use evidence to improve security rather than simply produce favorable metrics.
What to Do After Clicking a Phishing Link or Submitting Credentials
Even well-protected organizations can experience successful phishing attacks. Employees may click a suspicious link, enter their credentials, open an unsafe attachment, or approve a fraudulent authentication request.
The response should depend on what happened and what information or access may have been exposed.
Act quickly, report the incident, and avoid trying to investigate the suspected attack alone.
Scenario 1: You Clicked a Link but Did Not Enter Information
Clicking a suspicious link does not automatically mean that your device or account has been compromised.
However, the link may have led to a malicious website, initiated an unwanted download, or exposed information such as your IP address and browser characteristics.
Take these steps:
- Close the suspicious page.
- Do not download files or provide additional information.
- Report the message to your organization’s IT or security team.
- If a file was downloaded or the device behaves unusually, follow the organization’s incident response instructions.
- Allow the security team to determine whether additional investigation is needed.
If you are using a personal device, update your browser and security software, and run an appropriate security scan if a suspicious download or other concerning activity occurred.
Do not assume that clearing browser history or deleting the email is sufficient to resolve a potential compromise.
Scenario 2: You Entered Your Password on a Suspicious Website
If you entered your password into a suspected phishing page, treat the credential as potentially compromised.
Take these steps immediately:
- Report the incident to your organization’s IT or security team, if the account is work-related.
- From a trusted device, access the legitimate service through its official application or known address.
- Change the affected password.
- Change the same password anywhere else it was reused.
- Revoke active sessions and refresh tokens where the service supports it.
- Review MFA settings and account recovery options.
- Check for unfamiliar sign-ins, mailbox rules, forwarding settings, or connected applications.
If the compromised account is an administrator account, financial account, or another high-impact account, the incident should receive priority handling.
Changing a password is important, but it may not be sufficient if the attacker has already established a session, registered another authentication method, or created a separate means of access.
Scenario 3: You Approved an Unexpected MFA Request
If you approved an authentication request that you did not initiate, notify the service provider or your organization’s security team immediately.
The approval may have allowed an attacker to sign in.
The response may require:
- Blocking or restricting the affected account.
- Revoking active sessions.
- Reviewing authentication and sign-in logs.
- Resetting credentials.
- Reviewing registered authentication methods.
- Checking for unauthorized application permissions.
- Investigating access to sensitive information.
Do not approve additional authentication requests to make the alerts stop.
If you receive repeated unexpected prompts, report them as potential account compromise rather than assuming they are harmless technical errors.
Scenario 4: You Opened a Suspicious Attachment
If you opened an attachment that may be malicious, report the incident immediately.
Do not continue interacting with the file or follow instructions that it displays.
If your organization’s procedures direct you to disconnect the device from the network, follow those procedures. Otherwise, contact the security team promptly for instructions. Security teams may need to isolate the device to prevent further activity while preserving evidence.
The investigation should consider whether the file executed code, downloaded additional content, requested elevated privileges, or caused suspicious endpoint activity.
A document opening successfully does not establish that it was safe.
Scenario 5: You Sent Money or Shared Financial Information
If you or your organization transferred money because of a suspected phishing or impersonation attack, contact the bank or payment provider immediately and explain that the transaction may be fraudulent.
Ask whether the transaction can be stopped, recalled, or otherwise investigated. The available options depend on the payment method, timing, and circumstances.
For US victims, the following resources may be relevant:
- FBI Internet Crime Complaint Center: IC3 for reporting suspected internet-enabled financial crime.
- Federal Trade Commission: ReportFraud.ftc.gov for reporting scams and fraud.
- IdentityTheft.gov: Identity theft recovery assistance if personal identifying information has been misused.
Businesses should also notify the appropriate internal financial, legal, and security teams and preserve relevant messages and transaction records.
The sooner a suspected fraudulent transfer is reported, the more opportunity the bank and relevant authorities may have to investigate.
How SOC Analysts Should Investigate AI-Assisted Phishing Incidents
Security Operations Center analysts need a structured investigation process that connects the original phishing message with any subsequent account, endpoint, or business activity.
The investigation should answer five essential questions:
- Was the message malicious?
- Who received it?
- Did anyone interact with it?
- Was an account, device, or business process compromised?
- What actions are necessary to contain the threat and prevent recurrence?
An AI-assisted phishing message may be difficult to distinguish from a legitimate email based on writing style alone. SOC analysts should therefore focus on evidence from multiple sources.
1. Preserve the Original Evidence
Analysts should preserve the original message and relevant metadata before making changes that could destroy useful evidence.
Depending on the platform and incident, evidence may include:
- The original email and its complete headers.
- Message IDs and timestamps.
- Sender and recipient details.
- URLs and attachment hashes.
- Email gateway detection results.
- Identity and authentication logs.
- Endpoint security alerts.
- Mailbox rules and forwarding settings.
- Relevant application audit logs.
- Records of financial or administrative actions.
Evidence preservation helps analysts establish the sequence of events and determine whether additional systems or users may be affected.
Organizations should follow their incident response procedures, access controls, and applicable legal requirements when collecting and retaining evidence.
2. Identify the Attack Method
The analyst should determine how the attacker attempted to achieve the objective.
Possible methods include:
- Credential harvesting through a fraudulent login page.
- Executive or supplier impersonation.
- Malicious attachment delivery.
- Unauthorized OAuth application consent.
- Session theft.
- Payment fraud.
- Deepfake-assisted impersonation.
- Abuse of a compromised legitimate email account.
The presence of AI-generated text may be impossible to establish reliably from the message alone. In many incidents, the more important question is how the attack worked and which security controls failed.
For example, a polished email asking for a supplier payment change should be investigated as a potential financial fraud attempt regardless of whether AI was used to write it.
3. Search for Related Messages
Analysts should identify other messages associated with the same campaign.
Useful search indicators may include:
- The same sender or sending infrastructure.
- Repeated URLs.
- Matching attachment hashes.
- Similar message IDs or delivery patterns.
- Common subject lines.
- Similar impersonation themes.
- Recipients in the same department.
- Related messages sent from compromised internal accounts.
Searching for related messages helps determine the scope of the attack and supports coordinated containment.
However, attackers may generate different versions of a message for different recipients. Searches should therefore use multiple indicators rather than relying exclusively on exact text matches.
4. Correlate Email, Identity, and Endpoint Events
A complete investigation should examine what happened after the message was delivered.
For example, a phishing message may be followed by:
- A successful sign-in from an unfamiliar device.
- An unexpected MFA registration.
- A new mailbox forwarding rule.
- Unusual access to cloud documents.
- Unexpected application consent.
- Suspicious downloads.
- Messages sent from the compromised account.
The analyst should build a timeline that connects the initial message to subsequent activity.
If an account was compromised, the investigation should identify what the attacker accessed, whether additional accounts were affected, and whether sensitive information was exposed.
5. Contain, Recover, and Document
After establishing the likely scope, the response team should contain the threat, restore secure access, and document the incident.
Depending on the findings, actions may include removing malicious messages, blocking confirmed malicious destinations, revoking sessions, resetting credentials, isolating affected endpoints, and reviewing account permissions.
If financial fraud occurred, the organization should coordinate with its bank and relevant internal stakeholders.
The final report should document the attack timeline, affected assets, business impact, root causes, containment actions, and recommended improvements.
For a structured approach, organizations can use the guidance in NIST Special Publication 800-61 Revision 3: Incident Response Recommendations and Considerations for Cybersecurity Risk Management. It connects incident response with broader cybersecurity risk management and provides a foundation for developing repeatable response processes.
Governance, Compliance, and Risk Management Considerations
AI-assisted phishing is not only a technical problem. It can also affect privacy, financial controls, regulatory compliance, contractual obligations, and business continuity.
Organizations should include phishing risks in their wider cybersecurity governance program.
1. Define Clear Security Responsibilities
Businesses should establish who is responsible for preventing, detecting, investigating, and responding to phishing incidents.
Typical responsibilities include:
- Executive leadership: Approves risk priorities, resources, and major response decisions.
- IT administrators: Maintain secure email, identity, endpoint, and access configurations.
- SOC analysts: Monitor alerts, investigate suspicious activity, and coordinate technical containment.
- GRC teams: Assess risks, maintain policies, track control effectiveness, and support compliance.
- Finance teams: Verify payment requests and supplier account changes.
- Human resources: Support employee awareness and relevant internal procedures.
- Employees: Follow security policies and report suspicious communications.
In smaller organizations, one person may perform several of these functions. The important requirement is that responsibilities are clearly assigned and understood.
2. Align Controls With Cybersecurity Risk Frameworks
Organizations can use established cybersecurity frameworks to structure their defensive program.
The NIST Cybersecurity Framework 2.0 provides a risk-based approach organized around six functions: Govern, Identify, Protect, Detect, Respond, and Recover.
These functions map well to phishing defense.
The framework does not require every organization to purchase a particular product. Instead, it helps organizations assess risk and select controls appropriate to their circumstances.
3. Address Privacy and Data Protection
Phishing attacks may expose employee information, customer records, financial details, or other sensitive data.
Organizations should establish procedures for assessing whether a security incident has exposed protected information and determining whether notification or reporting obligations apply.
The relevant requirements depend on factors such as the type of information, the industry, the affected individuals, applicable state laws, and any contractual obligations.
Businesses should involve their legal, privacy, and compliance teams when an incident may trigger such requirements.
4. Include Phishing in Third-Party Risk Management
Suppliers, contractors, and business partners can become part of a phishing incident.
For example, an attacker may compromise a supplier’s email account and use it to send fraudulent payment instructions to a customer. Alternatively, an attacker may impersonate a company employee when contacting an external service provider.
Organizations should establish procedures for verifying sensitive requests involving external parties.
They should also assess whether important suppliers maintain appropriate security controls, especially when those suppliers handle sensitive data, payments, or access to business systems.
5. Maintain an Audit Trail
Organizations should document security policies, authentication settings, email protection configurations, incident reports, training records, and relevant approval procedures.
A clear audit trail helps demonstrate how security risks are managed and allows teams to identify weaknesses over time.
It also supports investigations by providing evidence of which controls were configured, which actions were taken, and how incidents were handled.
The goal is not to generate paperwork for its own sake. Documentation should help the organization make better decisions, demonstrate accountability, and improve its security posture.
The Future of AI-Powered Phishing: Emerging Threats to Watch
The relationship between generative AI and phishing will continue to evolve as attackers adopt new tools and organizations improve their defenses.
It is important to distinguish between capabilities that are already practical and risks that remain uncertain. AI can assist with writing, translation, personalization, and impersonation today. However, not every sophisticated phishing campaign uses AI, and not every AI-related security claim is supported by evidence of widespread real-world use.
Organizations should prepare for credible threats without treating every new AI capability as an immediate or unavoidable risk.
1. More Personalized Social Engineering
AI tools may make it easier to adapt messages to an individual’s professional role, business relationships, or recent activities.
Attackers could use publicly available information to create messages that refer to a real meeting, project, or supplier relationship.
For example, an employee who recently attended a professional conference might receive a message appearing to come from an organizer, asking them to review an event document.
The message may be relevant to the employee’s actual experience, making the request feel routine.
Defensive priority: Limit unnecessary public exposure of sensitive business information, train employees to verify unexpected requests, and apply strong access controls to shared documents and accounts.
2. Multichannel Phishing Campaigns
Future campaigns may combine email, text messages, telephone calls, collaboration applications, and synthetic audio or video.
An attacker might first send an email, follow it with a phone call, and then use a messaging platform to reinforce the request.
The different messages may appear to confirm one another even though they all originate from the same attacker.
This approach exploits the victim’s tendency to trust information that appears consistent across several channels.
Organizations should therefore avoid treating a second communication as independent verification when the attacker may control both channels.
Defensive priority: Verify sensitive requests through a trusted channel established before the suspicious communication began.
3. AI-Assisted Business Email Compromise
BEC may become more convincing when attackers combine access to real business communications with AI-assisted writing.
If criminals gain access to a legitimate mailbox, they may have access to genuine conversation history, business terminology, and information about pending transactions.
AI can help them draft messages that fit the surrounding conversation, but the underlying account compromise may be the most important part of the attack.
For example, a criminal who accesses a supplier’s mailbox may wait until a legitimate invoice discussion is underway before attempting to change the payment details.
The recipient may recognize the sender and the invoice, yet the new bank account belongs to the attacker.
Defensive priority: Independently verify payment changes, protect email accounts with strong authentication, and monitor unusual mailbox activity.
4. AI-Assisted Impersonation of Trusted People
Improvements in synthetic audio and video may make some impersonation attempts more convincing.
However, a convincing imitation does not prove that the person being imitated participated in the communication.
Organizations should avoid relying on visual recognition or voice familiarity as the sole basis for approving financial transactions, sharing confidential information, or changing access permissions.
Defensive priority: Require identity verification and authorization procedures that remain effective even when an attacker can imitate a trusted person’s voice or appearance.
5. Faster Changes in Attack Techniques
AI-assisted tools may allow some attackers to change message wording, themes, and targeting more quickly.
This may reduce the effectiveness of defenses that depend only on recognizing a fixed message template.
Security teams should continue to use sender reputation, authentication results, URL analysis, behavioral detection, identity monitoring, and incident intelligence.
They should also review detection rules when attacks change, rather than assuming that yesterday’s indicators will identify tomorrow’s campaigns.
6. Greater Need for Human Verification
As messages become more polished, organizations may need to place greater emphasis on verification procedures rather than writing style.
Employees should understand which actions require confirmation, how to confirm a request, and where to report suspicious activity.
For example, a finance employee should follow the same payment verification process whether a request arrives as an ordinary email, a message from a known executive, or a convincing video call.
The procedure should not become optional merely because the communication appears authentic.
The most durable defense is a process that verifies identity, authorization, and business purpose before a sensitive action is completed.
Actionable Takeaways: A Security Checklist for Businesses and Individuals
The following checklist brings together the main defensive recommendations in this guide. It can be used by individuals, small businesses, IT administrators, SOC analysts, and security managers.
For Individuals
- Check the sender’s actual address before trusting an unexpected email.
- Avoid opening unexpected links or attachments.
- Access banking, payroll, and cloud services through official applications or known bookmarks.
- Never share passwords or authentication codes in response to an unexpected request.
- Use unique passwords and a reputable password manager.
- Enable MFA and prefer phishing-resistant authentication where supported.
- Verify unusual requests through a separate, trusted communication channel.
- Treat urgent payment requests and account recovery messages with caution.
- Report suspected phishing to the relevant organization or service provider.
- If credentials may have been exposed, secure the account promptly and review its activity.
For Small Businesses
- Enable and configure the email provider’s spam and phishing protections.
- Configure SPF, DKIM, and DMARC for business email domains.
- Require MFA for business accounts.
- Use phishing-resistant authentication for high-risk accounts where practical.
- Verify supplier bank changes independently.
- Require appropriate approval for sensitive payments.
- Train employees to recognize impersonation and social engineering.
- Establish a simple process for reporting suspicious messages.
- Maintain secure backups and test recovery procedures.
- Document an incident response process and assign clear responsibilities.
For Enterprise Security Teams
- Deploy and maintain appropriate email security controls.
- Protect executives, finance personnel, and privileged accounts against impersonation.
- Integrate email, identity, endpoint, and cloud security monitoring.
- Monitor suspicious sign-ins, mailbox rules, and application permissions.
- Establish procedures for searching for and removing malicious messages.
- Maintain tested workflows for account containment and session revocation.
- Conduct realistic phishing awareness exercises.
- Measure reporting rates and response times.
- Review supplier fraud risks and payment verification procedures.
- Conduct incident reviews and track corrective actions to completion.
A 30-Day Implementation Plan
Organizations that need a practical starting point can use the following schedule.
This is a suggested starting schedule, not a guarantee that all risks can be resolved within 30 days. Organizations with complex environments or serious security gaps may need more time and specialist support.
Conclusion: Defending Against Phishing in the Age of LLMs
Large language models are changing how phishing attacks can be prepared, personalized, and delivered. They can help attackers write convincing emails, adapt messages to specific employees, imitate familiar communication styles, and support social engineering across multiple channels.
However, AI does not make phishing impossible to detect, and it does not remove the need for sound cybersecurity practices.
The strongest defense combines technology, identity verification, employee awareness, and well-defined business procedures. Organizations that rely only on spelling checks or email filters may overlook convincing attacks, while organizations that combine email security, phishing-resistant authentication, access controls, behavioral monitoring, and incident response can reduce their exposure.
Businesses should pay particular attention to financial fraud, compromised email accounts, executive impersonation, and unexpected requests for sensitive information. Employees should be encouraged to verify unusual requests, report suspicious messages, and follow established security procedures even when a request appears to come from someone they know.
Security teams should continuously evaluate their controls, investigate incidents, and use lessons learned to improve detection and response.
The same principles apply to individuals. Using unique passwords, enabling strong authentication, avoiding unexpected links, and independently verifying suspicious requests can significantly improve personal security.
Ultimately, the goal is not to determine whether every suspicious message was written by AI. The goal is to recognize deceptive behavior, verify identity and authorization, protect sensitive information, and prevent an attacker from turning a convincing message into a successful compromise.
As phishing techniques evolve, verification must remain stronger than trust based on appearance alone.
References and Further Reading
The following authoritative resources provide additional guidance on phishing prevention, email authentication, incident response, and cybersecurity risk management.
- FBI Internet Crime Complaint Center (IC3): Annual Internet Crime Reports — US cybercrime statistics, phishing complaints, and financial fraud trends.
- Cybersecurity and Infrastructure Security Agency (CISA): Secure Our World — Practical cybersecurity guidance for individuals and organizations.
- National Institute of Standards and Technology (NIST): Cybersecurity Framework 2.0 — A structured approach to managing cybersecurity risk.
- NIST: Special Publication 800-61 Revision 3 — Incident response recommendations and considerations for cybersecurity risk management.
- NIST: Special Publication 800-177 Revision 1 — Trustworthy email security and related technical considerations.
- Google Workspace: Security Help and Administration — Guidance for securing organizational email and accounts.
- Microsoft Learn: Anti-Phishing Protection in Microsoft Defender for Office 365 — Documentation covering email impersonation protection and related defenses.
These resources should be used alongside an organization’s internal security policies, technology documentation, and incident response procedures. Security configurations and product capabilities should be checked against current official documentation before implementation.
“Hey, I am Sachin Ramdurg, the founder of VDiversify.com.
I am QA/QC Manager, Certified Lead Auditor and Quality Champion. I am an Engineer and Passionate Blogger with a mindset of Entrepreneurship. I have been experienced in Blogging for more than 15+ years and following as a youtuber along with blogging, online business ideas, affiliate marketing, and make money online ideas since 2012.