Charts the enterprise course through the rapidly evolving field of AI-assisted software development, establishing the technical strategy and guardrails for safe adoption of AI coding assistants, agentic coding tools, and AI-generated code across the engineering organization; evaluating and integrating AI-native application security tooling (AI-assisted triage, autofix, secure code review, threat modeling, and detection engineering); and helping the enterprise navigate emerging risks including insecure generated code, prompt injection in developer workflows, model and prompt supply-chain exposure, and IP/data leakage through AI tooling. Owns the technical strategy and end-to-end architecture of the application security tooling stack including SAST, DAST, SCA, IAST/RASP, secrets scanning, API security, IaC and container scanning, ASPM/ASOC and its integration into the Developer Experience platform and enterprise CI/CD pipelines, so that security controls are consumed as native platform capabilities by application teams rather than as separate bolt-on tools.