A Guide to Establishing AI Governance 1. Build a Cross-Functional Foundation The first step in any governance program is defining who is responsible for what actions. AI impacts every corner of the ...

Treasury issues an AI Lexicon and sector-specific risk management framework to guide responsible AI adoption across financial institutions.

When did AI last appear as a substantive risk-and-accountability conversation, not just a technology briefing, on your board agenda? If you are pausing, the gap between your AI ambition and your AI ...

Landmark benchmarking, industry-first systemic risk capabilities, and a bold AI GRC vision help healthcare leaders move ...

The U.S. Department of the Treasury has unveiled new resources to steer how AI is used in the financial sector. According to a press release from the U.S.

Eight-document, 74,000-word analysis maps VectorCertain's patented six-layer prevention architecture and SecureAgent platform against the Treasury's 230 AI control objectives and 278 CRI Profile ...

New Executive Summary provides the "how-to" for leaders transitioning from centralized bottlenecks to a high-velocity, ...

At CHAI, our goal has always been to provide an engaging space that empowers users to create and interact with customized chatbots, offering unique and engaging experiences.

Zapier reports on the importance of AI governance, emphasizing its role in ethical, secure, and responsible AI use while ...

AI risk management helps organizations control bias, security, privacy, and reliability risks while meeting regulations and ...

Research explores cybersecurity maturity, AI governance, shadow AI, agentic adoption, rural health systems, and AI risk ...

The standards body is soliciting industry views on agentic security risks while ‘cementing US dominance at the technological ...