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As enterprises move rapidly toward AI and agentic systems, questions around governance, trust, and accountability are becoming increasingly urgent. In this interview, Malcolm Harkins explores what trustworthy AI actually means, what organizations need to achieve it, and how existing cybersecurity and compliance frameworks are struggling to address the realities of AI model security. The discussion also examines the gaps emerging around governance, risk management, and accountability as organizations deploy increasingly autonomous systems.
By FoundryAs enterprises move rapidly toward AI and agentic systems, questions around governance, trust, and accountability are becoming increasingly urgent. In this interview, Malcolm Harkins explores what trustworthy AI actually means, what organizations need to achieve it, and how existing cybersecurity and compliance frameworks are struggling to address the realities of AI model security. The discussion also examines the gaps emerging around governance, risk management, and accountability as organizations deploy increasingly autonomous systems.