Red Teaming AI Attacking And Defending Intelligent Systems (2025) (Philip A. Dursey)

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Philip A. Dursey 2025

Artificial intelligence has ushered in a new era, defined by complex, distributed systems of collaborating agents. As AI increasingly automates, analyzes, and drives decision-making across every industry, the demands for robust security, unwavering trust, and resilient systems have reached an all-time high. For modern defenders, this paradigm shift necessitates more than incremental adjustments; it demands a fundamentally new approach to adversarial testing, risk management, and organizational preparedness.
Multi-Agent Red Teaming for AI Security: Scalable Threat Simulation and Automated Vulnerability Discovery is your essential guide to navigating this intricate landscape. This book is born from the conviction that securing multi-agent AI applications requires the same creativity, speed, and adaptability inherent in the systems themselves. Traditional security tools and static checklists, designed for predictable workflows, are no longer sufficient. Attackers are evolving, and your defenses must too.
Why This Book is Indispensable for AI Professionals:

✔ Pioneering Multi-Agent Red Teaming: Dive deep into an innovative approach where adversarial agents simulate real-world attackers within dynamic, AI-driven ecosystems. Discover why this strategy is rapidly becoming a cornerstone of enterprise resilience and a key factor in regulatory compliance.
✔ Bridge the Gap Between Theory & Practice: M0ve beyond academic concepts to gain actionable insights with real-world scenarios, practical code samples, and hands-on workflows that you can immediately adapt to your environment. Learn to implement communication protocols like ZeroMQ for seamless agent interaction and configure specialized attack behaviors.
✔ Address Evolving AI Threats: Comprehend and counteract the new class of risks posed by autonomous AI systems, including data poisoning, adversarial inputs, cascading failures, model opacity, and supply chain vulnerabilities.
✔ Automated Vulnerability Discovery: Explore cutting-edge techniques for scalable threat simulation and automated vulnerability identification, equipping you with the tools to stay ahead of sophisticated adversaries.
✔ Comprehensive Coverage: From the foundational principles of multi-agent systems and risk modeling to advanced red team automation, this book provides a holistic view of AI security.
✔ Compliance and Ethical Governance: Understand the critical importance of governance, compliance, and ethical considerations in the deployment and red teaming of AI systems, ensuring your activities align with evolving regulatory frameworks.

Who Should Read This Book:
This book is meticulously crafted for AI engineers, security architects, penetration testers, technical leaders, and any professional committed to safeguarding intelligent and autonomous digital environments. Whether you are building, deploying, or securing multi-agent AI applications, this guide will equip you with the knowledge and tools needed to confront today's challenges and anticipate tomorrow's threats.
Equip yourself with the expertise to lead in the era of multi-agent AI. Elevate your security posture and ensure the resilience of your AI systems.

Contents of Download:

📌 Dursey P. Red Teaming AI. Attacking & Defending Intelligent Systems 2025.pdf (Philip A. Dursey) (2025) (52.86 MB)

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⭐️ Red Teaming AI Attacking And Defending Intelligent Systems (2025) ✅ (52.86 MB)
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