Let an AI clear out your false positives without letting it hide a real bug

AI agents running in repositories can access plaintext secrets on disks, increasing data exposure risks during commits and builds. Implementing an agent-readiness audit is essential for securing local machines. Simultaneously, using LLMs to clear false positives in security gates like Synapse introduces new vulnerabilities. If a model incorrectly deletes a finding, critical issues such as SQL injection may be overlooked, leading teams to ignore security alerts or inadvertently hide real bugs within the codebase.