Imagine a video call from your boss. It's urgent and pressing. The office in the background looks familiar. His voice carries the usual authority. The request? Wire $150,000 to a vendor right now.

You've done this before. It's a routine. So, you act without hesitation.

But this time, it wasn't your boss.

It wasn't even a person.

Welcome to the era of deepfake scams, where Artificial Intelligence can fabricate voices, faces, and entire personas with unsettling accuracy.

According to a 2024 report by Medius, over half of finance professionals in the U.S. and U.K. have encountered deepfake scams, and 43% said they fell for it.

These scams are no longer rare. They're happening now, targeting professionals in every industry.

This article breaks down how they work, how to spot them, and how to protect yourself from becoming the next victim.

What's a Deepfake Scam, Really?

A deepfake scam is a fake video, image, or audio that is created with AI to impersonate someone you know or trust. It could be your boss, a client, or even yourself.

They trick you into doing something you normally wouldn't. Maybe approve a transaction, share sensitive info, or click a malicious link.

Unlike the usual phishing scams, deepfakes feel personal. They're eerily realistic, timely, and emotionally persuasive. And that's what makes them dangerous.

How Deepfake Scams Actually Work

Scammers don't need much. Just a clip of your voice, a conference talk, or a LinkedIn post. Anything that shows your face or captures your voice is valuable.

Here's how it usually goes down:

Hackers gather your digital data.

First, they start gathering anything they can find. Your LinkedIn videos, your conference talks, even a voice memo from a podcast. If it shows your face, captures your voice, or reveals your mannerisms, it becomes valuable.

They train AI to mimic you.

Next, they feed all that content into an AI model. The software learns how you talk, move, blink, and smile. Even how your voice changes when you're under stress. It doesn't take long before the AI becomes a pretty convincing version of you.

They create fake videos and audio.

They use tools like DeepFaceLab, ElevenLabs, or Resemble.ai to generate audio or video that sounds and looks just like you. It could be you asking someone to wire money, or your voice confirming a sensitive transaction. With this, they can manipulate their victims to believe they are listening and talking to someone they trust, making them take actions they shouldn't.

They launch the attack.

Then, the scammers hit their target with a convincing deepfake. It could be an urgent video call from a CEO, a voicemail, or a quick message with an attachment. Whatever it is, the goal is to make you act before you stop to think.

They apply pressure.

To seal the deal, they crank up the urgency. It's always something critical: a deadline, a security issue, a financial emergency. That pressure breaks down your instincts, and before you know it, you're doing exactly what they want.

Real People. Real Scams. Real Losses.

This stuff isn't hypothetical. These scams are happening to regular people, not just CEOs or big-shot executives. Let me show you a few real examples that hit hard:

The $25 Million Zoom Call

Early in 2024, a finance employee at a multinational company in Hong Kong got what looked like a routine video call. It included his UK-based team, plus the finance director (people he worked with all the time).

He recognized the faces. The voices matched. The conversation felt routine.

So, when they instructed him to wire $25 million, he didn't hesitate. It all felt routine.

But none of it was real. Not the people, not the background, not the voices. The entire call was a deepfake, executed flawlessly. He'd been scammed by a deepfake so convincing, it fooled a trained professional. The money was gone.

It's not just big businesses either.

A deepfake of the Prime Minister? Yes, really.

Stephen Henry, a man from Toronto, watched a video of what looked like Canadian Prime Minister Justin Trudeau endorsing a new investment opportunity. The voice was perfect. The delivery was natural. The message sounded official.

So Stephen, trusting what he saw, sent his life savings ($12,000) to the account listed in the video.

Turns out it was a deepfake. Trudeau had nothing to do with it. And the money? Gone.

Hijacked by her own face.

Then there's Stacey Svegliato from Houston. She got a video call from someone she thought was a close friend. Sameface. Same voice. Nothing felt off.

But shortly after, deepfake videos of Stacey herself started going out from her Facebook account. In the videos, she pitched items for sale to her friends and family. They trusted her. Some sent hundreds of dollars.

She had no idea until messages started pouring in. "Hey, did you get my payment?"

The entire thing had been a scam, and it used her own likeness to pull it off.

These are just a few examples of how convincing, damaging, and personal deepfake scams have become.

Why Deepfakes Are so Hard to Detect

Here's the tricky part: Deepfakes don't look shady. You're not going to catch them with bad grammar or weird links. They trick your senses because they seem real.

So, why are they so tough to catch?

They sound and look like people you know.

If a voice sounds like your manager, or a face looks exactly like your CEO, your brain doesn't question it. It fills in the blanks and assumes it's real.

They come at you from more than one angle.

It's not just an email anymore. It might start with a message, then a phone call, then a quick video chat. It's layered, and that's what makes it so believable. Everything lines up, and by the time you realize something's off, it's too late.

They blend into your normal routine.

The most successful deepfakes don't ask for anything wild. They lean into everyday business. Things like invoice approvals, password resets, or wire transfers. It all feels like something you've handled before. That's the trick. Because it all feels normal, you don't stop to second-guess.

Anyone can use this tech now.

You don't need to be a hacker or a tech genius. Deepfake tools are cheap, easy to find, and even sold as a service on the dark web. Upload a face or voice clip, and they've built a convincing impersonation in seconds. Scammers just need a bit of context and a target.

What To Do If You're In a Deepfake Video

Finding out you're the subject of a deepfake hits hard. Whether it's meant to blackmail you, damage your reputation, or scam others in your name, it's a serious threat.

A 2023 report by the European Union Agency for Cybersecurity (ENISA) warned of a sharp rise in deepfake-related fraud and impersonation cases. If you're targeted, act fast:

Save everything.

Download the video or audio file. Take screenshots of where it's been posted. Copy any links and save any texts or messages that came with them. If there's a date and time, jot it down. Basically, gather proof before it disappears.

Don't sit on it. If this could affect your job, your company, or your clients, let someone know ASAP. That includes your IT/security team, legal department, or communications/PR team. You'll need their backup.

Report it to the platform.

Whether it's on YouTube, Facebook, TikTok, or another site, use the reporting tool to file a takedown. Most major platforms now let you flag deepfakes under impersonation or harmful content.

Track where else it might be.

Use reverse video/image tools like InVID or Google Reverse Image Search to check if the video is spreading on other sites. The sooner you find out, the faster you can get ahead of it.

Talk to a lawyer.

If someone's threatening you, trying to extort money, or using a deepfake to harm your reputation, don't try to handle it alone. There are lawyers who specialize in cyber harassment and reputation protection. In many countries, using deepfakes to commit fraud or blackmail is illegal, and you have rights.

How to Protect Yourself From Deepfake Scams

So, let's be real here. You can't stop people from creating deepfakes. But you can make them useless.

Here's how:

Never trust visuals or voices alone

Just because it looks like your boss or sounds like your client doesn't mean it's real. If the message is about money, passwords, or anything sensitive, verify it. Send a quick Slack message, make a phone call, or check in person. Always double-check.

Set a team codeword for approvals.

Sounds simple, but it works. Agree on a codeword or question only your team knows. If someone calls and can't say it, even if they look and sound convincing, that's your sign to stop and verify.

Train your team to slow down under pressure.

Scammers thrive on urgency. "Do this now," "This is urgent," "We'll lose the deal." Teach your team to spot that pressure for what it is: a red flag. Encourage a "pause and check" mindset, especially in finance and admin roles.

Limit how much content you share publicly.

The more videos, interviews, and audio clips of you online, the more material scammers have to work with. That doesn't mean going off-grid. Just be intentional about what gets posted, especially if you're in leadership or handle sensitive info.

Use AI tools to fight back,

Yes, AI creates deepfakes. But it can also detect them. Tools like Reality Defender and Microsoft's DeepFake Detection scan for the subtle signs humans would miss, like tiny timing glitches, visual artifacts, or audio mismatches. If your company deals with sensitive data or large transactions, it's worth having one of these in your security stack.

Never allow solo approvals for big decisions.

This one's huge. No matter how legit a request looks or sounds, make sure major decisions like transferring money or accessing secure files require a second sign-off. It's one of the simplest, most effective ways to stop a scam before it hits.

Don't Trust The Face. Trust The Process.

We used to worry about phishing emails. Now, we're dealing with fake humans, entire personas crafted by AI to fool you.

Deepfakes aren't coming, they're here. And they're targeting you.

Your best defense? Slow down and double-check.

Don't trust the face. Trust the process.