Securing LLMs in an Unpredictable World is a clear, essential guide to building trustworthy AI systems in an era where large language models are powerful, transformative - and dangerously unpredictable. Drawing on real-world failures and emerging security research, Mark Cole exposes the hidden risks behind hallucinations, prompt attacks, tool misuse, and broken guardrails, showing why traditional safeguards are no longer enough.
This book goes beyond theory, offering practical architectures, governance frameworks, and engineering strategies that help organizations design AI systems capable of staying safe even when the underlying model behaves unexpectedly. With a focus on reliability, resilience, and responsible deployment, it provides a blueprint for anyone who must ensure that AI systems remain secure in high-stakes environments.
Direct, insightful, and urgently relevant, Securing LLMs in an Unpredictable World is an indispensable resource for engineers, architects, policymakers, and leaders who understand that trust is no longer optional - it must be designed.