During vulnerability patching tests, the AI models correctly focused on the vulnerable source code but repeatedly ignored runtime inputs that were also part of the official security fix. In one example, validating paths loaded from a local .env file was necessary to fully resolve the issue. This shows an important limitation of automated patch generation. Security vulnerabilities can depend on configuration, runtime behavior, and application context—not just the code where the exploit appears. Missing those supporting elements can leave part of the attack surface exposed. As AI coding tools improve, how should they reason about runtime context and configuration instead of only the code that's immediately visible? Subscribe to our podcasts: https://securityweekly.com/subscribe #AppSec #SecurityWeekly #Cybersecurity #InformationSecurity #AI #InfoSec
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