Join sessions with client's security engineers; challenge their AI-driven offensive pipeline end-to-end.
Design and refine the exploitation agent: plan attack paths and sandboxed execution.
Optimize cost-per-finding by benchmarking local/open models against frontier models.
Shape the runtime anomaly-detection layer: define signals and automated response.
Stand up a quick-win PoC to anchor the engagement.
Turn findings into a defensible technical proposal and roadmap.
Keep sensitive work build-time and in-perimeter; respect certification constraints.

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