AI can't guarantee its own reliability. Trust in its decisions depends on you.
Artificial intelligence is moving into core business processes faster than most organizations can govern it. Leaders are being asked to rely on systems that behave intelligently but fail unpredictably-systems that make opaque decisions, accumulate silent privileges, and drift 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 keep AI systems observable, controllable, and defensible at enterprise scale. This is not a book about hype or distant futures. It is grounded in real operational environments where AI is already being used to protect thousands of organizations against modern cyber threats.
Written for executives, board members, and senior leaders responsible for guiding AI adoption, the book provides clear, practical language for understanding AI governance, security architecture, and organizational risk-without requiring a technical background. It shows how trust in AI systems is earned through visibility, oversight, and deliberate design, not blind confidence.
On Trust and AI offers a practical blueprint for integrating automation in ways that strengthen human judgment, maintain accountability, and preserve control as intelligent systems evolve.
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