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How to detect a deepfake

Updated: August 2026 · By César Cerrudo

For decades, a photo or a video carried enormous power: "If it's on camera, it happened."

Artificial intelligence is changing that relationship. A video can apparently show a person saying something they never said. An image can depict an event that never happened. And a voice can sound authentic without being real.

The mistake is looking only for visual flaws

There is popular advice about watching hands, eyes, shadows, lip sync or blinking. Sometimes these can reveal a manipulation.

But relying only on those flaws as a defense has a problem: the technology improves. A more robust strategy is verifying the context.

Ask first: where did it come from?

Not "does the video look real?", but "what is the original source?"

Check:

The more emotional it is, the slower you should react

Manipulated content works especially well when it triggers outrage, fear, surprise, excitement or hate.

A strong emotional reaction should be a signal to slow down, not to speed up.

Never make an important decision based on a video alone

If a supposed executive orders a transfer over video: verify through another channel.

If a relative appears on a video call asking for money: verify.

If a public figure seems to announce an investment: look for independent confirmation.

The best defense against deepfakes is not seeing better

It's verifying better.

AI can make a visual fake nearly perfect. But you can still ask:

The book's artificial intelligence chapter covers deepfakes, voice cloning and AI-powered phishing.

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César Cerrudo
About the author

César Cerrudo is a professional hacker and cybersecurity researcher with more than 25 years of experience. He helped secure technologies from Microsoft, Oracle, Twitter and IBM, and is the author of A Hacker's Security Guide, a free guide that helps people, families and organizations learn to protect themselves in the digital world.

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