AI-assisted development is moving faster than the security models built to govern it — agents write code, open merge requests, and ship changes at a pace where vulnerabilities go unnoticed. The problem isn't a shortage of scanning tools; it's that security lives outside the workflow where decisions actually get made and policies become suggestions. GitLab Ultimate changes that by making application security a core property of the platform itself, not a portal developers have to visit separately. This article walks through the three compounding dimensions that make that possible — See, Enforce, and Fix — and why all three together are what turn GitLab into a true DevSecOps control plane for the AI-native software development lifecycle (SDLC). You can't secure what you can't see Governance starts with seeing every project, every scanner, and every action across the SDLC. Per-project dashboards leave the gaps invisible, and gaps are where unenforced policy lives.…