It sounds like an exercise in theory: what if a researcher could prompt an AI to reverse-engineer a vulnerability, locate the patched commit, and generate a working exploit—all in a single afternoon? But that’s exactly what security researcher Matt Keeley demonstrated when he used GPT-4 to produce a working proof-of-concept for a critical Erlang/OTP SSH

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The rapid advancement of generative AI is changing the cybersecurity landscape, making exploit development faster and more accessible. This shift from time-consuming craftsmanship to prompt engineering means defenders must react quickly to threats. Organizations must adopt AI-enabled strategies that prioritize real attack paths and operate at machine speed, as the traditional advantage of time for patching vulnerabilities is disappearing. Focus is needed on critical weaknesses and continuous validation to combat AI-empowered adversaries effectively.

The Cybersecurity Gap Is No Longer Talent—It’s Tempo