Deepfakes and AI Voice Scams: What to Watch For

Article AI

October 27, 2026

Scam call alert on a smartphone showing a suspicious unknown caller, fraud warning, and phishing risk, representing identity theft prevention, privacy protection, and digital security.

Artificial intelligence is making impersonation scams more convincing by allowing criminals to create realistic voices, images, videos, and messages. These AI-powered techniques are making social engineering attacks harder to recognize, particularly when a request appears to come from someone you know or trust.

Deepfakes and AI voice cloning can help criminals impersonate executives, coworkers, and vendors to manipulate employees into transferring money, sharing sensitive information, or granting unauthorized access.

A message from your CEO asks you to urgently transfer money. A coworker sends a video requesting access to a sensitive file. Your “boss” calls and asks for confidential information.

The voice sounds right. The face looks right. The message seems convincing.

But what if it isn’t really them?

Artificial intelligence is making impersonation scams more convincing by allowing criminals to create realistic voices, images, videos, and messages. Deepfakes and AI voice scams can make traditional social engineering attacks harder to recognize, particularly when a request appears to come from someone you know or trust.

For employees, the most important defense isn’t becoming an expert at detecting AI-generated content. It’s learning to slow down, recognize suspicious requests, and verify someone’s identity through a trusted channel before taking action.

What Are Deepfakes and AI Voice Scams?

A deepfake is synthetic or manipulated media created using artificial intelligence. It can include video, audio, images, or other content designed to make someone appear or sound like another person.

An AI voice scam uses voice-cloning technology to imitate someone’s voice. The Federal Trade Commission (FTC) has warned that scammers can use relatively short audio samples to create convincing voice clones and impersonate family members, business executives, and others.

These technologies don’t necessarily create entirely new types of scams. Instead, they can make existing social engineering and impersonation attacks more believable.

That means an employee might encounter:

  • A voice-cloned phone call from an executive
  • A fake video meeting involving an impersonated coworker
  • An AI-generated voicemail
  • A convincing message from a vendor
  • A fake video or audio endorsement
  • An impersonation designed to obtain money or sensitive information

How AI Is Changing Social Engineering Attacks

Traditional social engineering relies on manipulating people into taking an action they normally wouldn’t take. Attackers may create a sense of urgency, authority, fear, or familiarity.

AI can make those tactics more convincing. A scammer can potentially use publicly available photos, videos, social media posts, recorded speeches, interviews, or other information to create content that appears to come from a real person.

For organizations, this creates a particularly important risk: trust can no longer be based solely on a familiar voice, face, email style, or caller ID.

Common Deepfake and AI Voice Scam Examples

Executive Impersonation

One potential scenario involves an attacker impersonating a CEO, CFO, department leader, or other executive.

An employee might receive a message saying: “I’m in a meeting and need you to process this payment immediately.”

The request may involve a wire transfer, gift cards, sensitive documents, credentials, or other high-value action.

The urgency is part of the attack.

Vendor or Business Impersonation

Attackers may impersonate vendors or business partners to request payment changes, account information, or access to systems.

For example, an employee might receive a phone call that appears to come from a familiar vendor and be asked to update payment information.

Because the request sounds routine, the employee may not immediately recognize it as suspicious.

Fake Video Meetings

A deepfake can potentially be used during a video call to impersonate an employee or executive.

The FBI has warned that criminals have used deepfake technology in fraudulent schemes, and that video or audio quality alone shouldn’t be treated as proof of authenticity.

An employee shouldn’t assume that seeing someone’s face on a video call automatically verifies their identity.

Family and Personal Impersonation

AI voice cloning isn’t limited to workplace scams.

The FTC has warned about scams in which criminals clone a family member’s voice and create a fake emergency designed to pressure someone into sending money.

The same psychological tactic, “Act now before you have time to think,” can appear in business scams.

Warning Signs of Deepfake and AI Voice Scams

AI-generated content isn’t always easy to identify. Some deepfakes contain visual or audio inconsistencies, but technology continues to improve. The FBI identifies potential indicators such as unnatural facial movements, unusual blinking, awkward positioning, inconsistent lighting, and synthetic-sounding audio.

However, employees shouldn’t rely on spotting these technical clues alone. Instead, pay attention to the request itself.

Be cautious when a message:

  • Creates unusual urgency
  • Requests money or a payment
  • Requests sensitive information
  • Asks for passwords or authentication codes
  • Requests access to a system or account
  • Changes established payment instructions
  • Tells you to keep the request secret
  • Comes through an unusual communication channel
  • Conflicts with normal business procedures
  • Asks you to bypass established security controls

One suspicious characteristic may not prove that something is a scam. Several together should prompt additional verification.

Don’t Trust the Voice Alone

One of the most important lessons from AI voice scams is simple:

A familiar voice isn’t proof of identity.

If someone calls and asks you to perform an unusual or high-risk action, don’t rely on the caller’s ID or the voice itself. Instead, independently verify the request.

For example:

  1. End the conversation.
  2. Contact the person using a phone number you already have.
  3. Use your organization’s directory or another trusted source.
  4. Ask the person to confirm the request.
  5. Follow your organization’s established approval process.

The FTC similarly recommends contacting the person or organization using contact information you know is legitimate rather than relying on the information provided by the potential scammer.

Create Verification Procedures for High-Risk Requests

Organizations shouldn’t expect employees to identify every deepfake perfectly.

Instead, build processes that make successful impersonation more difficult.

For example, organizations can require independent verification for:

  • Wire transfers
  • Changes to payment information
  • Password resets
  • Privileged account requests
  • Sensitive data transfers
  • New vendor accounts
  • Requests for authentication codes
  • Changes to security settings

A simple rule can help:

The higher the potential impact, the stronger the verification should be.

If a request could result in significant financial loss, sensitive data exposure, or access to critical systems, a single phone call or email shouldn’t necessarily be enough authorization.

Don’t Let Urgency Override Security

Scammers often create urgency because urgency reduces the time someone has to think.

An employee might be told:

  • “I need this in the next five minutes.”
  • “Don’t contact anyone else.”
  • “I’m unavailable, so just take care of it.”
  • “This is confidential.”
  • “We’re going to miss the deadline.”

These statements don’t automatically mean something is fraudulent.

But they should encourage you to slow down when combined with an unusual request.

Taking a few extra minutes to verify an important request is better than spending weeks responding to an avoidable security incident.

Protect Information That Could Be Used for Impersonation

Employees should also consider what information they make publicly available.

Publicly posted videos, recorded meetings, social media content, employee biographies and work history, photos, and other material can potentially provide information attackers use to make impersonation attempts more convincing.

That doesn’t mean employees should avoid using social media or remove every public photo.

Instead, organizations should provide guidance about what information is appropriate to share publicly and how employees can protect sensitive organizational information.

How Organizations Can Prevent AI-Powered Social Engineering Attacks

Deepfake and AI voice scams aren’t just an employee awareness issue. Organizations can strengthen their defenses through a combination of people, processes, and technology.

Strengthen Security Awareness Training

Security awareness training should include modern impersonation scenarios rather than focusing exclusively on traditional phishing emails.

Employees should practice identifying:

CampusGuard’s security awareness training includes timely AI-focused modules that cover AI security, managing AI risks, and using AI the right way.

Establish Clear Verification Procedures

Employees need to know what to do when a request involves money, sensitive data, credentials, or privileged access.

Written procedures should make it clear when independent verification is required, outline verification steps, as well as when dual control is required.

Use Multi-factor Authentication (MFA)

MFA can help protect accounts when passwords are compromised.

It isn’t a complete defense against social engineering, but it adds an important layer of account security.

Organizations should also educate employees about never sharing MFA codes or approving unexpected authentication requests.

Limit Access

Employees should only have access to the systems and information they need to perform their jobs. Identity and access management (IAM) helps ensure that the right individuals have access to the right systems, applications, and data at the right time.

Strong access controls can limit the potential impact if an account is compromised.

Encourage Fast Reporting

Employees should be familiar with their organization’s incident response plan and know where to report suspicious calls, messages, emails, or other potential incidents. They should also feel comfortable reporting mistakes, such as clicking on a phishing email or inadvertently compromising an account.

Someone who reports a suspicious interaction immediately gives the security team more opportunity to investigate and contain potential damage.

What to Do After a Deepfake or AI Voice Scam

Mistakes happen. If you respond to a suspicious request, share information, click on a malicious link, transfer money, or provide credentials, report it immediately according to your organization’s incident response procedures.

Don’t wait because you’re embarrassed or unsure whether the incident is serious.

Depending on what happened, your security team may need to:

  • Disable or reset an account
  • Revoke access
  • Reset credentials
  • Investigate authentication activity
  • Contact financial institutions
  • Preserve evidence
  • Warn other employees
  • Initiate incident response procedures

The faster an organization knows about a potential incident, the sooner it can determine what happened and take appropriate action.

Build a Culture of Verification

Deepfakes and AI voice scams are changing what impersonation attacks can look and sound like. As synthetic media becomes more convincing, organizations can’t rely on employees simply recognizing whether a voice or video “looks real.”

Instead, organizations can build security habits around verification.

Pause when a request is unusual. Be cautious when someone creates urgency. Verify high-risk requests through a separate trusted channel. Protect sensitive information. And report suspicious activity quickly.

AI may make impersonation more convincing, but strong security processes can make impersonation attempts much harder to carry out successfully.

Contact CampusGuard to learn more about strengthening your organization’s security awareness program and preparing employees to recognize and respond to emerging AI-powered scams.

Deepfake and AI Voice Scam FAQs

How can you tell if a voice is AI-generated?

There isn’t a single reliable sign that proves a voice is AI-generated. Synthetic audio can sometimes contain unusual background noise, unnatural speech patterns, or inconsistencies, but employees should not rely solely on their ability to hear a fake. Independent verification is a stronger defense.

Can AI clone someone’s voice?

Yes. Voice-cloning technology can generate speech that imitates a person’s voice from audio samples. The FTC has specifically warned that scammers use voice cloning for impersonation fraud.

How are deepfakes used in phishing and social engineering attacks?

Yes. Deepfakes can potentially be combined with phishing, social engineering, business impersonation, and other fraud techniques to make an attack appear more legitimate.

Should employees trust a video call from an executive?

Not automatically. If the person asks you to perform an unusual or high-risk action, independently verify the request through a trusted communication channel.

What should I do if I receive a suspicious AI-generated message?

Don’t respond or provide sensitive information. Follow your organization’s reporting procedures and verify the request through a trusted channel if appropriate.

What are social engineering attacks?

Social engineering attacks manipulate people into taking actions that compromise security, such as sharing sensitive information, transferring money, or granting unauthorized access. Attackers may use impersonation, urgency, or deception to gain trust. AI-generated voices, videos, and messages can make these attacks more convincing.

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About the Author
Yeilli Gonzalez

Yeilli Gonzalez

Marketing Communications Intern

Yeilli is a Marketing Communications intern with CampusGuard and a student at the University of Nebraska-Lincoln. She is passionate about communication, relationship building and creating meaningful connections through marketing and community engagement. Through her academic and professional experiences, Yeilli has developed a strong interest in storytelling, brand awareness, and helping organizations connect with their audiences in impactful ways.

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