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Google Chrome: Transition to AI-Augmented Vulnerability Management

Google is pivoting the Chrome security lifecycle from manual triage to an AI-augmented "hyper-cadence" model. By deploying Gemini-powered agents for full codebase scanning and hybrid triage—blending rule-based logic with LLMs—the organization is automating the discovery and remediation of critical vulnerabilities. This shift has successfully identified legacy sandbox escapes that evaded human detection for over a decade. The resulting surge in discovery velocity, evidenced by 1,072 security fixes in just two releases, is necessitating an accelerated deployment pipeline, including the testing of a twice-weekly patching schedule to mitigate the risk of AI-driven adversarial exploitation.


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