How a $1.4M AI Security System Became an $4.2M Liability

This story exposes a critical flaw in automated AI-driven security: when systems cannot understand context or developer intent, they can inadvertently block legitimate security fixes while protecting actual vulnerabilities. The case demonstrates how expensive security infrastructure without human judgment can become a liability, especially when institutional incentives align with maintaining existing security gaps.