On Trust and AI

AI can't guarantee its own reliability. Trust in its decisions depends on you.

AI is moving into core business processes faster than most organizations can govern it. Leaders are being asked to trust systems that behave intelligently but fail unpredictably—models making opaque decisions, tools granted silent privileges, and automated workflows drifting out of alignment long before anyone notices.

On Trust and AI explains why these failures happen, how attackers exploit the gaps, and what it takes to build AI that remains observable and controllable at enterprise scale. This is not a book about hype or distant futures—it's a field guide drawn from real operational environments where AI is already defending thousands of organizations from modern cyber threats.

For executives responsible for steering AI adoption, the message is direct: trust must be engineered. The book offers a practical path to deploy AI confidently, maintain oversight as systems evolve, and integrate automation in ways that strengthen human judgment instead of eroding it.