Securing Ai Agents
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Securing Ai Agents
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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2025-09-30
Securing Ai Agents written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Computers categories.
This book focuses on agentic AI security, providing a comprehensive guide to the theoretical foundations and practical techniques required to secure the increasingly prevalent AI agent systems. It examines the security challenges posed by multi-agent environments and presents real-world examples of open-source frameworks and commercial solutions to mitigate these risks. It answers key questions, including how to conduct threat modeling for agentic AI systems, how to secure communication and identity within multi-agent environments, and how to leverage open-source frameworks and commercial solutions for effective security. The book features dedicated chapters on agentic AI threat modeling, identity security, communication security in MAS (Multi-Agent Systems), red teaming, AI agents life cycle security, capability and security benchmarking using GAIA and AIR frameworks, Reinforcement Learning (RL) and security, secure agentic AI deployment strategies, innovative open source security frameworks (Cloud Security Alliance and OWASP examples), and case studies of commercial startups addressing agentic AI security challenges. It also explores the unique threat landscape of agentic AI, the challenges of securing communication and identity within multi-agent systems, and the practical application of security benchmarks and open-source frameworks. As such, the book equips cybersecurity professionals, AI developers, and researchers with the knowledge and tools to mitigate the unique security risks associated with autonomous agents and multi-agent systems.
Agentic Ai Security
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Author : Devon Coder
language : en
Publisher: Independently Published
Release Date : 2025-12-04
Agentic Ai Security written by Devon Coder and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-04 with Computers categories.
Hook Question: When your AI agents make decisions in milliseconds, what prevents an attacker from turning them into autonomous threats? Autonomous AI systems now control critical operations across manufacturing, finance, healthcare, and beyond. While they deliver unprecedented efficiency, they also introduce vulnerabilities that traditional security models cannot address. Agentic AI Security: Protecting Autonomous Systems provides the first comprehensive blueprint for defending software entities that learn, adapt, and act without continuous human oversight. This book examines the expanding attack surface created by interconnected AI agents and the specific threats targeting them. Through analysis of prompt injection techniques, adversarial machine learning exploits, and insider threat vectors, you'll understand why conventional defenses fail against agents designed for independent operation. What you'll find inside: - The five architectural patterns that create hidden security gaps in autonomous systems - Methods for implementing real-time monitoring when AI behavior evolves post-deployment - Frameworks for maintaining security controls without compromising agent performance - Analysis of recent AI security incidents and the prevention strategies they reveal - Compliance approaches for emerging AI governance and data protection regulations The challenges-unpredictable behavior, limited visibility, and continuously evolving threats-demand specific solutions. This book delivers practical implementations of zero-trust principles for AI ecosystems, strategies for balancing autonomy with oversight, and techniques for building resilient agents that detect their own compromises. Secure your competitive advantage by protecting the systems that drive modern enterprise innovation. The future belongs to organizations that deploy AI agents with confidence, not uncertainty.
Ai Agent Security Handbook
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Author : Leo Hartmann
language : en
Publisher: Independently Published
Release Date : 2025-12-05
Ai Agent Security Handbook written by Leo Hartmann and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-05 with Computers categories.
Autonomous AI agents can execute complex workflows, maintain persistent memory, and interact intelligently with their environment-but with great capability comes significant risk. The Agent Security Playbook provides a hands-on, practical guide to securing LLM agents against the most common and emerging threats. Inside, you'll learn how to: Develop agent-specific threat models and identify attack surfaces Engineer safe, schema-bound prompts and orchestrate tool access Implement memory integrity checks, anomaly detection, and write controls Embed real-time safety critics and policy enforcement into agent reasoning Conduct adversarial testing and red teaming for proactive defense This volume equips AI professionals with foundational and tactical strategies to build autonomous agents that are both powerful and secure, serving as the cornerstone for the advanced techniques explored in Volume 2.
Agentic Ai Security For Developers
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Author : Josh Raymond
language : en
Publisher: Independently Published
Release Date : 2025-12-18
Agentic Ai Security For Developers written by Josh Raymond and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-18 with Computers categories.
As AI agents become more autonomous, connected, and powerful, security is no longer optional-it's foundational. Agentic AI Security for Developers is a practical, engineering-first guide to designing AI agents that are safe, controllable, and resilient in real-world environments. This book focuses on the new security challenges introduced by agentic systems-agents that plan, reason, call tools, access data, and act on behalf of users. Instead of abstract theory, you'll learn concrete techniques for building guardrails, enforcing trust boundaries, and preventing misuse, failures, and unintended behavior. What You'll Learn ✔ What makes agentic AI systems fundamentally different from traditional AI ✔ Core threat models for AI agents, tools, and autonomous workflows ✔ Designing secure agent architectures with clear control boundaries ✔ Preventing prompt injection, data leakage, and unauthorized tool use ✔ Managing permissions, identity, and access for AI agents ✔ Securing memory, retrieval systems, and external integrations ✔ Monitoring, logging, and auditing agent behavior ✔ Fail-safe mechanisms, rate limits, and human-in-the-loop controls ✔ Best practices for deploying trustworthy AI agents in production Who This Book Is For Software developers building AI agents AI application and platform engineers Security-conscious developers and architects Teams deploying autonomous or semi-autonomous systems Anyone responsible for safe and reliable AI behavior Why This Book Works Most AI resources focus on capability. This book focuses on control. It treats agentic AI security as a first-class engineering discipline-combining software security principles with modern AI workflows. Every chapter emphasizes practical design patterns, real attack scenarios, and defensive strategies you can apply immediately when building agent-based systems. By the end of this book, you'll be able to design AI agents that are not only powerful-but secure, predictable, and trustworthy by design. If you're building agentic AI systems and want to avoid costly security mistakes, Agentic AI Security for Developers is the guide you need.
Agentic Ai Security
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Author : Andrew Ming
language : en
Publisher: Independently Published
Release Date : 2025-10-16
Agentic Ai Security written by Andrew Ming and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-16 with Computers categories.
In the rapidly evolving landscape of artificial intelligence, autonomous large language model (LLM) agents are redefining how systems reason, act, and interact with the world. These agents go beyond answering queries-they execute complex workflows, leverage external tools, and maintain persistent memory to achieve goals. However, with this transformative power comes unprecedented security challenges. Agentic AI Security: Designing and Protecting Autonomous LLM Agents with Advanced Threat Models, Prompt Engineering, and Memory Safeguards is your essential guide to building and securing these next-generation AI systems. This comprehensive book provides AI engineers, security architects, DevSecOps professionals, and responsible AI practitioners with a robust framework to safeguard autonomous LLM agents. Across eight expertly crafted chapters, you'll explore how to mitigate risks like prompt injection, memory poisoning, feedback loop attacks, and self-modifying agent behaviors. Learn to design secure agent architectures, implement layered defenses, and align with emerging compliance standards to ensure your systems are both powerful and trustworthy. Inside, you'll discover how to: Develop agent-specific threat models using STRIDE and other frameworks tailored for autonomous systems. Engineer schema-bound prompts and gated tool orchestration to prevent intent drift and unauthorized actions. Implement memory integrity checks, anomaly detection, and write controls to secure agent recall and persistence. Embed safety critics, intent modeling, and policy enforcement within the agent's reasoning loop for real-time protection. Conduct red teaming, adversarial testing, and continuous threat simulation to proactively harden agent deployments. Navigate compliance with NIST AI RMF, OWASP GenAI Top 10, and the EU AI Act for enterprise-grade, auditable AI systems. Whether you're building AI agents for real-world applications or securing enterprise-grade deployments, this book equips you with practical strategies and technical patterns to address the unique vulnerabilities of autonomous systems. Stay ahead of evolving threats and build AI agents that are not only intelligent but also secure, resilient, and aligned with ethical standards. Start mastering agentic AI security today!
Agentic Ai
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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2025-07-11
Agentic Ai written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Business & Economics categories.
This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances. The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits. Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.
Safeguarding And Securing Autonomous Ai Agents
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-10-01
Safeguarding And Securing Autonomous Ai Agents written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-01 with Computers categories.
As autonomous AI agents become integrated into critical sectors, the need to safeguard and secure these systems becomes urgent. Unlike traditional software, autonomous agents make decisions and take actions with minimal human oversight, increasing their potential and risks. Malicious exploitation, unintended behavior, and adversarial manipulation are real-world threats that demand robust security frameworks. This calls for a multidisciplinary approach that combines cybersecurity, AI ethics, regulatory oversight, and technical safeguards to ensure systems operate safely, reliably, ethically. Safeguarding and Securing Autonomous AI Agents explores agentic AI security, focusing on the unique risks, threats, and defensive measures required to safeguard autonomous AI agents. It examines threat models, detection and mitigation strategies, and ethical considerations for their safe deployment. This book covers topics such as fraud detection, ethics and law, and risk management, and is a useful resource for engineers, policymakers, security professionals, academicians, researchers, and scientists.
Cybersecurity In The Age Of Artificial Intelligence
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Author : Pasi Koistinen
language : en
Publisher: Pasi Koistinen
Release Date : 2025-07-12
Cybersecurity In The Age Of Artificial Intelligence written by Pasi Koistinen and has been published by Pasi Koistinen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.
Artificial intelligence has stopped knocking politely on the door of cybersecurity—it has kicked it open, set up shop inside, and begun rewriting the rules. From generative phishing emails indistinguishable from trusted colleagues to adaptive malware that evolves faster than defenders can react, AI has made the threat landscape faster, smarter, and far less predictable. This book is a practical guide to that unsettling reality. It doesn’t trade in hype or hand-waving optimism. Instead, it lays out—in plain language—how AI systems create new risks, what happens when security practices built for deterministic software fail, and why human vigilance and organizational discipline are more important than ever. Inside, you’ll discover: -How attackers are already using AI to automate reconnaissance, generate malicious code, and industrialize social engineering at a scale no human team could match. -Why defending AI is a fundamentally different challenge, with attack surfaces embedded in training data, model weights, and seemingly innocuous prompts. -How familiar safeguards—like static rules, perimeter defenses, and blacklists—fall apart when faced with systems that learn, infer, and sometimes hallucinate. -What it takes to design secure, trustworthy AI systems: from threat modeling and auditing pipelines to deploying explainable models that don’t sacrifice accountability for convenience. Written for security leaders, engineers, policymakers, and technologists who recognize that the convergence of AI and cybersecurity isn’t theoretical—it’s already operational—this book offers a strategic roadmap for navigating a landscape where yesterday’s defenses are no longer enough. You’ll explore real-world case studies: chatbots leaking confidential data with alarming politeness, AI-driven phishing campaigns that slip past even well-trained employees, and defensive models that fail silently because they can’t explain their own reasoning. Along the way, you’ll learn frameworks to separate the promising from the perilous, the actionable from the aspirational. Artificial Intelligence Cybersecurity isn’t a manual for fine-tuning models or a primer for beginners. It assumes you already sense that something is shifting—and provides the clarity, examples, and strategies to respond. If you’re responsible for securing critical systems or shaping the policies that govern them, this book will help you ask better questions, make better decisions, and avoid the costly mistake of treating AI as just another line item in your technology stack. Because in this new era, the question isn’t whether AI will reshape your security strategy. The question is whether you’ll be ready when it does.
Advances In Information And Computer Security
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Author : Carlos Cid
language : en
Publisher: Springer Nature
Release Date : 2025-11-24
Advances In Information And Computer Security written by Carlos Cid and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-24 with Computers categories.
This book constitutes the proceedings of the 20th International Workshop on Security on Advances in Information and Computer Security, IWSEC 2025, held in Fukuoka, Japan, in November 25, 2025. The 27 full papers were carefully reviewed and selected from 95 submissions. These papers were categorized into the following sections: Public-Key Encryption; Signature Schemes; Security and Analysis of Post-Quantum Cryptography; Card-Based Cryptography; Protocols; Privacy-Preserving Techniques; AI Attacks and Mitigations; Vulnerability Detection; Cache & Code-Execution: Attacks and Mitigations; Cyber Attack & Threat Analysis; Wireless Communication Security and Human Factors in Cyber Security.
Security Issues And Solutions In 6g Communications And Beyond
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Author : Pandey, Digvijay
language : en
Publisher: IGI Global
Release Date : 2024-07-23
Security Issues And Solutions In 6g Communications And Beyond written by Pandey, Digvijay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-23 with Computers categories.
The advent of 6G has brought forth unprecedented advancements, intertwining artificial intelligence, virtual reality, and blockchain. However, with this transformative progress comes a myriad of security and privacy challenges that could potentially hinder the seamless integration of 6G. From UAV-based mobility to holographic telepresence, digital twins, and connected autonomous vehicles, the intricacies of this new era pose substantial threats to the intelligence process of communication development. Security Issues and Solutions in 6G Communications and Beyond Transformation is a comprehensive guide that meticulously navigates through the security labyrinth of 6G, offering insights into anticipated challenges and providing robust solutions. From distributed ledger technology threats to physical layer security intricacies and quantum communication hurdles, this book serves as a beacon for academics, managers, public and private organizations, and the general public seeking to understand and address the security concerns inherent in 6G communication networks.