November 9, 2026 · 2 min read

How to Spot AI Voice and Deepfake Scams at Work

Scammers can now fake a familiar voice or face. A few simple habits stop most of these attacks.

The best defense against AI voice and video scams isn't spotting the fake. It's a habit: any request to move money, change payment details, or share access gets confirmed through a second channel you already trust, no matter how real the call or message seems.

What these scams look like

AI tools can now copy a person's voice from a short recording and generate convincing video of their face. Scammers use them to impersonate executives, vendors, and colleagues, usually with an urgent request: pay this invoice, update these bank details, send these files, approve this login.

In 2024, engineering firm Arup confirmed that an employee in Hong Kong was tricked into sending about $25 million after a video call with deepfaked versions of senior colleagues. Smaller versions of the same trick, like a cloned voice asking for a gift card purchase, are far more common.

Warning signs

  • Urgency and secrecy: it has to happen now, and don't tell anyone.
  • A change in the usual process: new bank details, a new contact, a new app.
  • A request to move money, share credentials, or bypass an approval.
  • Small oddities: unusual phrasing, poor audio, or a call from an unfamiliar number.

Habits that stop most attacks

  • Call back on a number you already have, not one in the message, before acting on any payment or access request.
  • Require two people to approve payments above a set amount, and any change to payment details.
  • Agree on a verification question or code word for unusual requests between leaders and finance.
  • Make it normal to say "I'll call you back to confirm," even to the CEO.

What to do if someone falls for one

Speed matters. Call your bank immediately to try to stop or recall the payment, change any passwords that were shared, tell whoever handles IT and security, and report it to the authorities. Then look at which step in your process let it through and fix that, without blaming the person who was targeted.

Our Cybersecurity & Safe AI Use training

Questions people ask

01Can we detect deepfakes with software?

Detection tools exist, but none are reliable enough to depend on. A verification habit works whether or not the fake is detectable.

02How much audio does it take to clone a voice?

Often only a short sample, such as a voicemail greeting or a video posted online. Assume any public voice can be imitated.

03Who should be trained on this?

Everyone who can move money, change payment details, or grant access, which in a small business is often most of the team.

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