Design and implement security controls across cloud, Kubernetes, CI/CD, endpoints.
Build Cadence AI governance: model controls, safeguards, bias, post-deployment surveillance.
Translate security risk into clear, business-level recommendations for technical and non-technical stakeholders.
Help define Cadence's AI governance framework, ensuring AI systems are safe, fair, and aligned with patient safety.
Set the standard for secure engineering practices: scalable primitives, golden paths, reusable controls.
Help set and defend prioritization across security workstreams with engineering leadership.

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