AGENTIC AI SECURITY SYSTEMS

In an era where AI agents are revolutionizing industries, from autonomous vehicles to intelligent networks, the risks of unaligned behavior, adversarial attacks, and data breaches have never been higher. Agentic AI Security by Grey Lewis is your essential guide to fortifying multi-agent architectures and safeguarding autonomous systems against emerging threats.
This comprehensive book delves into cutting-edge strategies for building trust, implementing robust control mechanisms, and establishing governance frameworks that ensure AI operates safely and ethically. Learn how to defend against sophisticated adversarial attacks that manipulate AI decision-making, prevent devastating data breaches in interconnected systems, and mitigate unaligned behavior that could lead to catastrophic failures.
Drawing on real-world case studies and practical tools, Lewis explores:

Trust in AI: Techniques for verifying agent intentions and fostering reliable human-AI collaboration.
Control Mechanisms: Advanced protocols to monitor and intervene in autonomous operations.
Robust Governance: Policies and architectures that align AI goals with human values, preventing rogue behaviors in multi-agent environments.

Whether you're an AI engineer, cybersecurity professional, or policymaker, this book equips you with the knowledge to navigate the complexities of agentic AI security. Stay ahead of the curve and protect your systems from the vulnerabilities of tomorrow.
Perfect for readers interested in AI security, autonomous systems security, multi-agent AI defense, adversarial AI attacks, AI data protection, and ethical AI governance.