Adopting cold-war tactics for AI deep fakes?

The AI arms race in deepfake detection has a critical problem: the technology can't keep up.

In this episode, Navroop Mitter, CEO of ArmorText, discusses why the industry is shifting away from relying on AI detection alone.

A recent study from SKKU in South Korea found that zero out of sixteen top deepfake detection technologies could reliably identify deepfakes in real-world conditions. They worked fine in controlled lab settings, but failed when it mattered most.

This is driving a major shift. Rather than relying on AI to detect AI-generated content, security teams are exploring analog verification methods and Cold War era spy novel inspired techniques for identity verification.

The solution combines modern out-of-band identity verification with methods that don't depend on winning the deepfake detection race.

As deepfakes become more sophisticated, proving who you are online becomes critical. The question isn't whether we can build better detection, but whether we can verify identity through means that bypass the problem entirely.

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