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Understanding how to preserve authentic intent in the face of adversarial pressure is core to making AI trustworthy in high-stakes environments. This principle drives our investigation into detecting manipulation, distinguishing legitimate requests from malicious ones, and maintaining the integrity of human-AI communication.

Validating security claims through systematic, reproducible evidence is essential to building trustworthy defenses. This principle grounds our work in measurable outcomes through comprehensive test suites, clear metrics, and transparent reporting of what works and what doesn't.

Understanding how to preserve authentic intent in the face of adversarial pressure is core to making AI trustworthy in high-stakes environments. This principle drives our investigation into detecting manipulation, distinguishing legitimate requests from malicious ones, and maintaining the integrity of human-AI communication.