AI can detect vulnerabilities, but who governs risk?

This post argues that while AI can detect vulnerabilities, enterprise security requires governance platforms beyond mere detection.

• •Anthropic's Claude Code Security sparked debate on whether AI could replace traditional AppSec tools, but detection alone does not equal accountability
• •Organizations face three core questions: is what we ship safe, has risk posture changed as environments evolve, and how do we govern AI-assembled codebases
• •LLMs evaluate code in isolation, whereas enterprise platforms understand contextual factors like authorship, application criticality, reachability, and exploitability
• •Static scans cannot keep pace with dynamic risk; continuous governance embedded in development workflows is required
• •GitLab positions itself as an orchestration layer that enforces policy, maintains audit trails, and governs across thousands of repositories at AI development speed