Staying Ahead of Adversarial AI Through Agentic Source Code Review

Written by: Alex Tselevich, Michael Maturi

Introduction Adversarial misuse of AI has increased the risk of data theft and extortion events, because when proprietary source code is exposed, defenders must scramble to identify and patch vulnerabilities while attackers deploy machine-speed AI tools ag

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