{"product_id":"agentic-ai-security-threat-modeling-red-teaming-and-defenses-for-autonomous-systems-adversarial-testing-sandboxing-runtime-controls-alignment-ch-9798264802751","title":"Agentic AI Security: Threat Modeling, Red-Teaming and Defenses for Autonomous Systems: Adversarial testing, sandboxing, runtime controls, alignment ch","description":"\u003cp\u003e • Author(s): Marcus Endo\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Natural Language Processing\u003c\/p\u003e\u003cp\u003eA security-first book that unpacks the unique attack surface of agentic systems and offers pragmatic defenses. Deep dives into prompt injection, jailbreaks, data exfiltration via tool chains, supply-chain threats, poisoning, and privilege escalation through plugin\/tool connectors. Provides red-teaming frameworks, automated fuzzing approaches, runtime anomaly detection, sandboxing patterns, secure defaults for tool invocation, and compliance templates for auditing agent behavior.\u003cbr\u003e\u003cb\u003eWho this book is for\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eSecurity engineers and red-teamers testing AI systems.\u003c\/li\u003e\n\u003cli\u003eMLOps and SREs responsible for secure LLM deployments.\u003c\/li\u003e\n\u003cli\u003eCompliance officers and risk managers overseeing AI governance.\u003c\/li\u003e\n\u003cli\u003eDevelopers and platform teams integrating third-party tools into agents.\u003c\/li\u003e\n\u003c\/ol\u003e\u003cb\u003eWhat the reader will learn\u003c\/b\u003e\u003col\u003e\n\u003cli\u003eHow to build threat models specific to agentic architectures.\u003c\/li\u003e\n\u003cli\u003eRed-team methodologies: prompt fuzzing, tool exploitation tests, and scenario-based attacks.\u003c\/li\u003e\n\u003cli\u003eDefensive patterns: sandboxed execution, least-privilege connectors, and capability gating.\u003c\/li\u003e\n\u003cli\u003eRuntime monitoring: anomaly detection, signals, and automated rollback strategies.\u003c\/li\u003e\n\u003cli\u003eAudit trails, logging, SLOs for safety, and regulatory compliance considerations.\u003c\/li\u003e\n\u003cli\u003eIncident response playbooks for model misuse and data leak scenarios.\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779182706839,"sku":"9798264802751","price":2090.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798264802751.webp?v=1778034095","url":"https:\/\/atlanticbooks.com\/products\/agentic-ai-security-threat-modeling-red-teaming-and-defenses-for-autonomous-systems-adversarial-testing-sandboxing-runtime-controls-alignment-ch-9798264802751","provider":"Atlantic Books","version":"1.0","type":"link"}