Google says it may have uncovered the first real-world case of threat actors using AI assistance during zero-day exploit development — but is this truly a cybersecurity turning point, or another overhyped AI headline?

In this episode of Reimagining Cyber, Tyler Moffitt unpacks what actually happened, what Google discovered, and why the reality is both less dramatic — and potentially more dangerous — than the headlines suggest.

Tyler looks at how AI is accelerating exploit research, lowering the barrier for mid-tier cybercriminals, and compressing the timeline between vulnerability discovery and active attacks. He explains why this isn’t “Skynet for hackers,” but rather AI acting as a force multiplier that makes attackers faster, cheaper, and more scalable.

The conversation also covers:

• How AI-assisted exploit development really works
• Why hallucinated code and fake vulnerability references tipped Google off
• The growing “AI vs AI” battle between attackers and defenders
• Why patching delays remain one of the biggest security risks
• How identity security, MFA, and layered defenses still matter most
• Whether this moment could become cybersecurity’s next major turning point

If you’ve been wondering whether AI is truly changing the threat landscape — or just accelerating the one we already have — this episode breaks it down clearly and practically.

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