As artificial intelligence rapidly transforms industries and reshapes our digital landscape, the security challenges accompanying this technological revolution have never been more critical or complex. From adversarial attacks that can fool image recognition systems to sophisticated prompt injection techniques targeting large language models, the security implications of AI deployment extend far beyond traditional cybersecurity paradigms.

This book, "AI Security – Attacks, Defenses, and Governance," emerges from an urgent need to bridge the knowledge gap in this rapidly evolving field. While AI capabilities advance at an unprecedented pace, our understanding of how to secure these systems, protect against emerging threats, and establish robust governance frameworks often lags behind. The consequences of this disconnect are already manifesting in real-world incidents: biased algorithmic decisions, manipulated AI outputs, privacy breaches in machine learning systems, and the emergence of AI-powered cyberattacks.

This comprehensive handbook is designed to serve multiple audiences within the AI security ecosystem. For students entering the field, it provides foundational knowledge and practical insights into the multifaceted nature of AI security. Industry professionals will find actionable guidance on implementing security measures throughout the AI lifecycle. Security experts can leverage the detailed attack vectors and defensive methodologies to enhance their existing practices. Meanwhile, industry leaders and decision-makers will discover the governance frameworks and strategic considerations necessary for responsible AI deployment at scale.

• Paperback: 294 pages
• Publisher: White Falcon Publishing; 1 edition (March 2026)
• Author: Ankit Sharma
• ISBN-13: 9789376312078
• Product Dimensions: 8.5 x 11 inch

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