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KnowBe4: The Right Way to Evaluate Deepfakes

KnowBe4
10/15/2026
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the thing is fake or real, and more about whether the thing that is in front of us is trying to deceive us in some way. So what is it making us feel? What's the story? And then ultimately, what does it want us to do or believe? Once we evaluate that, we have a line onto what truth really is.

TL;DR

  • Perry Carpenter argues that spotting visual glitches in deepfakes is the wrong approach — intent and influence matter far more than technical authenticity.
  • His three-question framework asks what the content makes you feel, what story it tells, and what it wants you to do or believe.
  • Evaluating content through the lens of deception rather than fakeness gives a clearer and faster path to identifying manipulation.

Summary

In this short clip, KnowBe4's Chief Deception Strategist Perry Carpenter challenges the conventional approach to identifying deepfakes. Rather than hunting for visual artifacts or technical glitches, Carpenter argues that the more effective evaluation framework centers on intent and influence. His three-question method asks: What is this content making you feel? What story is it telling? And what does it want you to do or believe? By shifting focus from authenticity detection to deception detection, viewers gain a faster and more reliable path to identifying manipulative content — regardless of whether it is technically real or fake. This reframe has significant implications for security awareness training, as it equips everyday users with a practical mental model that does not require technical expertise to apply.

Chapters

0:00 - Reframing Deepfake Detection
0:15 - The Three-Question Framework
0:21 - Finding the Truth

Key Quotes

0:00 "The thing about deep fakes is less about whether the thing is fake or real, and more about whether the thing that is in front of us is trying to deceive us in some way."
0:15 "What is it making us feel? What's the story? And then ultimately, what does it want us to do or believe? ..."
0:21 "Once we evaluate that, we have a line onto what truth really is."

FAQ

Why is looking for visual glitches in deepfakes considered the wrong approach?

According to Perry Carpenter, focusing on visual artifacts misses the point. What matters is whether the content is attempting to deceive — by manipulating your emotions, framing a misleading narrative, or driving you toward a specific belief or action. That intent-based evaluation is more reliable and accessible than technical detection.


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