CREDIT : GAVIN GALLOT
It’s easy to assume that artificial intelligence systems are unbeatable when it comes to spotting scams and fraud. But Gavin Gallot’s eye-opening LinkedIn post shows us just how wrong that assumption is. The featured image (Fake Bill) on this post was also AI Generated !
Gallot shared a real example where a fraudster used AI to impersonate a CEO’s voice during a phone call. The scammer convinced an employee to wire $25 million—all through a deepfake voice. This wasn’t science fiction. It happened in a real-world company, under real-world pressure. The big takeaway? AI doesn’t just help fight fraud—it can be used to commit it.
As AI tools become more accessible, the barrier to entry for cybercriminals gets lower. Deepfake voices, cloned faces, and fake identities can now be spun up in seconds. That means businesses—especially the people working in finance, HR, and executive support—need to shift from asking, “Is this message legit?” to “Can I prove this person is who they say they are?”
A powerful reminder came from Gallot himself:
“We’ve moved from trusting the message, to needing to authenticate the messenger.”
It’s a small shift in thinking—but one that could save your business millions.
Gallot also calls for companies to rethink their internal processes. It’s no longer enough to rely on phone calls and email verifications. Businesses need stronger protocols—things like multi-channel verification, employee training, and a healthy dose of skepticism in high-pressure situations.
🔗 For more on how this happened and what to watch out for, check out Gavin Gallot’s original LinkedIn post.
Q&A Section
Q: How do I protect my company from AI voice scams?
A: Start by reviewing your approval workflows. Make sure large transfers or sensitive decisions can’t be made based on voice or email alone. Implement multi-step verifications and consider using video or secure apps for high-risk approvals.
Q: Can AI really mimic a person’s voice well enough to fool employees?
A: Yes. With just a few minutes of audio from interviews or public appearances, scammers can train AI models to produce shockingly accurate deepfake voices.
💬 What would your team do in a situation like this? Share your thoughts below—and don’t forget to Sign up for our AI Newsletter to stay ahead of the curve.
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