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[Blog] Building Trust in AI: Framework for Secure and Responsible Use

As artificial intelligence (AI) continues to reshape industries, its rapid adoption raises critical concerns around security, ethics, and trust. Organizations increasingly recognize the need for a well-structured framework to ensure that AI systems are responsibly developed, deployed, and monitored. Gartner introduced the term AI TRiSM to describe a comprehensive framework designed to address these challenges. This concept emphasizes the integration of trust, risk management, and security to create AI systems that are both innovative and reliable. In this blog, we delve into the essential components of this framework and how organizations can benefit from adopting it.

Click to learn more about essential components of the AI framework and how to implement it.

iSMG Data Security Summit: Dallas

May 15, 2025
Renaissance Dallas at Plano Legacy West Hotel

Join us at our session to learn more about data security, privacy, and governance in the age of LLMs.

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