As AI adoption accelerates, organizations must address growing risks around governance, compliance, and data protection. AI trust, risk, and security management (AI TRiSM) has emerged as a key framework to ensure responsible and transparent AI use. It focuses on challenges such as model interpretability, algorithmic bias, security vulnerabilities, and regulatory alignment. This white paper outlines how BigID supports AI TRiSM by delivering deep data visibility, risk assessment, and governance controls that help organizations build trustworthy, secure, and compliant AI systems.

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