AI-Driven Phishing Is Here: 5 Ways to Spot a Deepfake Before Your Team Doesn't

Sep 25, 2026

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AI-Driven Phishing Is Here: 5 Ways to Spot a Deepfake Before Your Team Doesn't

AI-driven phishing attack showing a suspicious video call, synthetic identity signals, and cybersecurity verification controls

AI has changed phishing from a sloppy email problem into an identity problem.

Attackers can now generate convincing messages, clone voices, imitate executive writing styles, and create realistic video-call personas. They can combine those tools with stolen business information to pressure employees into sending money, changing vendor bank details, sharing credentials, or bypassing normal approvals.

You cannot solve this risk with awareness training alone. You need trained employees, clear verification procedures, and technical controls that work together.

We help small and midsize businesses build that layered approach through cybersecurity consulting, security assessments, incident response planning, and practical technology guidance.

WHY AI-DRIVEN PHISHING WORKS

Traditional phishing often contains obvious warning signs:

  • Poor spelling.
  • Strange formatting.
  • Suspicious links.
  • Generic greetings.
  • Unusual sender addresses.

AI removes many of those clues.

A phishing email can now sound like your CEO. A fake vendor can use accurate project details. A cloned voice can call an employee and create pressure in real time. A deepfake video can make the request feel even more legitimate.

The request may appear to come through several channels:

  • Email.
  • Phone.
  • Text message.
  • Microsoft Teams or Slack.
  • Zoom or another video platform.

That combination creates false confidence. Your employee sees an email, receives a call, and then joins a video meeting with someone who appears to be a familiar executive.

The correct response is not to become an expert at spotting every artificial artifact. That is unrealistic. The correct response is to make high-risk actions impossible to approve based on appearance, voice, urgency, or a single message.

FIVE WAYS TO SPOT AND STOP A DEEPFAKE

1. LOOK FOR URGENCY, SECRECY, AND PROCESS BYPASSING

The strongest warning sign is often behavioral rather than technical.

Deepfake scams usually support a social-engineering goal. The attacker wants you to act quickly and avoid asking questions.

Be cautious when someone:

  • Demands an immediate wire or ACH payment.
  • Requests a last-minute vendor bank change.
  • Asks you not to involve finance, legal, or another executive.
  • Says they are unavailable for normal approval.
  • Pressures you to keep the request confidential.
  • Claims a system problem prevents standard documentation.
  • Requests passwords, MFA codes, reset links, or sensitive files.
  • Becomes irritated when you ask for verification.

Urgency is not authorization.

Create a simple internal rule: no financial, access, payroll, or vendor-change request is approved because an executive “said it was urgent.” Every request must follow the same process, regardless of who appears to make it.

Your employees also need permission to pause. If the culture rewards speed at all costs, attackers will use that culture against you.

A safe response can be simple:

“I understand this is time-sensitive. Our policy requires independent verification before we proceed.”

That statement protects the employee and the business.

Deepfake social-engineering attack showing urgent payment pressure interrupted by a pause-and-verify control

2. CHECK THE VOICE AND VIDEO, BUT DO NOT TRUST THEM ALONE

Voice and video artifacts can provide clues. They are not proof.

During a suspicious call or video meeting, look for:

  • Audio that sounds flat, robotic, or unusually compressed.
  • Odd pauses or unnatural sentence rhythm.
  • Delayed responses that do not match the conversation.
  • Lip movement that does not align with speech.
  • Facial expressions that appear repetitive or limited.
  • Inconsistent lighting when the person moves.
  • Strange eye movement or blinking.
  • Background noise that changes unexpectedly.
  • A person who refuses to turn their camera, switch channels, or answer normal questions.

These signs can help you recognize a problem. They can also be absent. AI-generated content is improving, and a poor connection can create many of the same artifacts.

Do not ask employees to make a final decision based on whether a face “looks real.” Train them to treat voice and video as untrusted communication for high-risk actions.

A familiar voice is not authentication. A familiar face is not authentication. Independent verification is authentication.

3. END THE CONTACT AND CALL BACK USING A KNOWN NUMBER

A callback is one of the most practical defenses against voice cloning and impersonation.

The important detail is how you perform it.

Do not:

  • Call the number displayed on caller ID.
  • Use the phone number in the email signature.
  • Click a callback link in a text message.
  • Ask the caller to transfer you to another person.
  • Verify while the original caller remains on the line.

Instead:

  1. End the call or leave the video meeting.
  2. Find the person’s number in your company directory or another trusted system.
  3. Call that number independently.
  4. Confirm the request, amount, destination, and timing.
  5. Record who verified the request and when.

Use the same process for vendors. Maintain approved contact details in your vendor management system. Require a callback to the number already on file before changing banking information.

The Cybersecurity and Infrastructure Security Agency recommends using trusted contact information rather than relying on details provided in a suspicious message. That principle applies to email, phone, text, and video.

For higher-risk requests, add a second control:

  • A second employee approves the transaction.
  • The request is confirmed in a secure internal system.
  • A pre-agreed challenge phrase is used.
  • A waiting period applies to new payees or changed bank details.

The more damaging the action, the more independent confirmation you should require.

4. COMPARE THE REQUEST WITH THE PERSON’S ROLE AND NORMAL BEHAVIOR

Even a realistic deepfake may make an unusual request.

Ask:

  • Does this person normally approve payments?
  • Would they usually contact this employee directly?
  • Is the amount consistent with normal business activity?
  • Does the request match an existing project or purchase order?
  • Is the communication coming through a new channel?
  • Are the instructions different from established policy?
  • Does the request conflict with information in your financial system?

An attacker may know the executive’s name and imitate their voice. That does not mean the request fits the executive’s authority.

Your employees should verify both identity and authorization. Those are separate questions.

For example, a finance employee may confirm that a call really came from the CFO. The employee must still verify that the CFO authorized the specific payment, to the specific recipient, for the specific amount.

Use written workflows for protected actions, including:

  • Wire transfers.
  • Payroll changes.
  • Vendor bank-detail changes.
  • MFA resets.
  • Privileged-access grants.
  • Sensitive data transfers.
  • New supplier setup.
  • Large purchases or refunds.

A workflow reduces the chance that one convincing interaction can override your controls.

5. LOOK FOR CHANNEL SWITCHING AND MULTI-STEP MANIPULATION

AI phishing rarely ends with one message.

An attacker may begin with an email, follow up with a phone call, and then move the target to a personal messaging app. Each step is designed to make the next step feel more credible.

Be cautious when someone:

  • Moves the conversation away from company systems.
  • Sends a new meeting invitation from an unfamiliar account.
  • Uses one channel to tell you not to trust another.
  • Provides new payment instructions after a previous confirmation.
  • Claims the normal contact is unavailable.
  • Asks you to delete messages or avoid creating a ticket.
  • Attempts to isolate you from coworkers.

Treat channel switching as a risk signal.

For high-value requests, require confirmation through at least two independent business channels. For example:

  • A callback to a known number.
  • A documented approval in your financial system.
  • A confirmation from a second authorized employee.

Do not confuse multiple messages from the same attacker with independent verification. Three channels controlled by one attacker are still one source.

BUILD A LAYERED DEFENSE

Deepfake awareness is only one part of a reliable security program. Your controls should protect the business even when someone misses a visual or audio clue.

A practical small-business security baseline includes:

  • Phishing-resistant MFA for email, financial systems, and administrative accounts.
  • SPF, DKIM, and DMARC configured for your business domain.
  • Email filtering that evaluates sender reputation, links, attachments, and unusual behavior.
  • Least-privilege access for employees and vendors.
  • Dual approval for significant payments and access changes.
  • Documented vendor verification procedures.
  • Security awareness training that includes voice and video scenarios.
  • Logging and monitoring for unusual sign-ins and data transfers.
  • A tested incident response plan.
  • Regular reviews of employee, vendor, and administrator access.

Layered cybersecurity defense protecting a small-business network from AI phishing and impersonation attacks

Technology will not replace judgment. Judgment will not replace technology. You need both.

Our security services include vulnerability assessment, penetration testing, social-engineering testing, compliance support, monitoring, and incident response planning. We start with your actual risks and budget rather than recommending a generic stack.

WHAT TO DO IF SOMEONE ALMOST FALLS FOR A DEEPFAKE

Respond quickly and without blame.

  1. Stop the payment, access change, or data transfer.
  2. End the suspicious call or meeting.
  3. Contact the real person through a trusted channel.
  4. Preserve emails, messages, call details, screenshots, and logs.
  5. Notify your internal security, finance, and leadership contacts.
  6. Contact your bank immediately if funds were sent.
  7. Review the affected accounts for unauthorized access.
  8. Reset credentials if they may have been exposed.
  9. Document what happened.
  10. Update the process that failed.

Fast reporting matters. The FBI provides guidance on impersonation campaigns, and CISA provides resources for recognizing and reporting phishing.

Do not punish employees for reporting suspicious activity. If people fear blame, they will delay reporting. Delays give attackers more time to move money, access accounts, or destroy evidence.

HOW FIVE 9 CAN HELP

You do not need a massive security department to reduce deepfake risk. You need controls that match how your business actually operates.

We can help you:

  • Assess your current identity and email security.
  • Create payment and vendor verification procedures.
  • Test employee response to phishing and social engineering.
  • Improve MFA, email authentication, and access controls.
  • Build an incident response plan.
  • Train your team using realistic business scenarios.
  • Provide ongoing managed IT services for small business when your internal team needs additional support.

A focused assessment typically takes one to two weeks, depending on your systems and scope. Implementation timelines vary. A basic policy and MFA improvement project may take several weeks. Broader security programs can take several months.

We will explain the scope, timeline, and pricing before work begins. Some businesses need a defined project. Others need ongoing small business IT support. We can adapt the engagement to your needs, and we will tell you honestly if a different provider or approach is a better fit.

Start with an honest conversation through our contact page. There is no pressure to buy a long-term contract. We will discuss what is working, identify the most important gaps, and outline practical next steps.

The safest response to a convincing deepfake is not better guessing.

It is a process that makes guessing unnecessary.

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AI-Driven Phishing Is Here: 5 Ways to Spot a Deepfake Before Your Team Doesn't | Five 9 Blog