How platform engineering makes AI-driven security practical

DevSecOps does not fail because teams lack tools. It fails because security decisions are fragmented, inconsistent, and depend on human effort. Platform engineering changes that. This talk explores how platform engineering makes AI-driven security practical by turning DevSecOps from scattered tooling into platforms, policies, and secure defaults. It examines why "shift left" became noise, why scanners disagree, and why CVE counts mislead, and shows how platforms provide the context AI needs to reduce noise and prioritize real risk. Rather than letting AI make security decisions, it explains how policy as code and platform guardrails allow AI to explain, recommend, and prioritize safely.