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Deepfakes are using AI - How You Can Prevent Becoming a Victim

Part Two – How to Fight Back!

In part one of this series (Emerging Deepfake Threat), we delved into the scammer’s world of AI and how they are using it to create real challenges to the way we interact online. In part two, we’ll look at ways consumers can fight back.

Deepfake technology has evolved from a novelty into one of the most potent weapons on the Internet. It began as amusing friendly greetings but now is driving a surge in online fraud. This costs businesses and individuals hundreds of millions of dollars. From impersonating CEOs in video calls to cloning voices of loved ones in distress. Deepfakes are eroding trust in communication at an alarming rate.

Fighting Back: Detection and Prevention

Detection technology is advancing rapidly:

Forensic Tools — Companies analyze video lighting inconsistencies, unnatural blinking patterns, audio spectrograms, and biometric artifacts. These tools are slowly making it to the marketplace. Soon, you’ll be able to use world-class AI detection software, like the omnipresent anti-virus tools we all use.
Is this Live or Memorex— If you’re on a live video chat, ask the person on the other end to turn their head or repeat a random phrase. (did you get the “memorex” reference?)
Watermarking and honeypots — Platforms like Adobe and Microsoft are embedding invisible authentication markers in legitimate media. The tools will help you to determine if you are interacting with a real person or not.
Enterprise Solutions — Companies are implementing “code word” protocols for financial requests and multi-person approvals. This sounds kind of “old school”, but has shown to be effective in adding another layer of security to your trusted network.

Yet detection remains an arms race. As one expert noted, humans can only spot deepfakes with ~55–60% accuracy — barely better than chance.

What’s the Outlook for 2026?

Without coordinated regulation and technological countermeasures, experts predict deepfake fraud could become a multi-billion-dollar industry of its own. Governments are beginning to respond — the EU, U.S., and China have introduced or proposed deepfake disclosure laws and criminal penalties — but enforcement lags behind innovation. This trend will surely intensify, for governments to begin addressing the negative effects of AI’s looming takeover of all online transactions.

Bottom Line

Deepfakes are no longer science fiction; they are a clear and present danger reshaping online fraud. The combination of accessible AI tools and human trust in audiovisual evidence has created a perfect storm. Organizations must treat every unsolicited financial request — even from a familiar face or voice — with extreme skepticism, implement verification protocols, and invest in detection systems. Individuals should limit public audio/video exposure and establish family safe words.

The message is simple: in the age of deepfakes, verify before you trust. The cost of gullibility has never been higher than ever.

Awareness is your strongest defense.

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