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AI Deepfakes are on the hype cycle today, thanks to a CFO who was tricked into paying $25M to a scammer.
This is a very real and current threat to organizations of all types and sizes. While the regulatory landscape around deepfakes continues its struggle to strike a balance of depth and breadth, all business leaders should prepare to respond to an inevitable attack (currently, there's no federal law governing deepfakes, though the creation and/or distribution of deepfakes is illegal in some U.S. states).
For those new to this technology, deepfakes are AI-generated videos or audio clips that make it appear as though someone is saying or doing something that they never did. In this instance, a finance worker was tricked into processing a $25.6 million payment to scammers using deepfake AI to pose as the company’s CFO on a conference call (in fact, every single person on the call was fake). Here are some tips to help prevent and detect deepfakes.
There are several signs of deepfakes which, when you know what to look for, are still perceptible to your human eye. Be on the lookout for:
From a software perspective, you should also consider tools that automatically look for AI-generated glitches and patterns to separate legitimate audio/video from fake through hashtag discrepancies, digital fingerprints and reverse image searches.
Deepfake attacks are evolving rapidly in sophistication and accuracy, and failure to swiftly recognize the very real potential of these attacks can have severe implications for businesses across all industries.
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