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 against them.
Summary from Google Threat Intelligence.
Explained
The technology and terms in this story. Learn more
- TechnologyAI agentAn AI model that acts on its own: it plans steps, uses tools and takes actions, not just answers.
- AttackData extortionStealing data and threatening to publish it unless the victim pays.
- ConceptExploitCode or a technique that turns a software flaw into something an attacker can actually use.