Shielding Intelligence

Artificial intelligence is no longer experimental. It is embedded in the systems that power financial institutions, healthcare, infrastructure, and decision-making at scale. As its role expands, so does the complexity of the risks surrounding it. Shielding Intelligence examines the security challenges that emerge across the full lifecycle of AI systems, from data and model development to deployment and ongoing use. It explores how vulnerabilities are introduced, how they are exploited, and why traditional approaches to security are often insufficient for systems that learn and adapt. The book provides a structured view of modern AI threats, including adversarial inputs, data poisoning, model extraction, and privacy attacks, while also addressing the broader implications of accountability, governance, and trust. It focuses not only on how systems fail, but how they behave when operating exactly as designed. Bridging technical insight with real-world application, Shielding Intelligence offers a practical perspective for those working with AI in complex environments. It is written for practitioners, technologists, and leaders who need to understand both the risks and the responsibilities that come with deploying intelligent systems.