{"product_id":"llm-attack-surface-defense-adriel-voss-9798197466969","title":"LLM Attack Surface Defense: Protecting AI Applications from Adversarial Exploits and Advanced Threats","description":"\u003cb\u003eYour LLM application passed every standard security review\u003c\/b\u003e - and the attacker is already in the retrieval pipeline. Most AI security guides tell you what the risks are. This book tells you exactly how to close them, layer by layer, in the production systems you are actually building today. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eLLM Attack Surface Defense\u003c\/b\u003e delivers the \u003cb\u003eCIPHER Framework\u003c\/b\u003e - a six-phase methodology covering \u003ci\u003e\u003cb\u003eClassify, Isolate, Probe, Harden, Examine, and Respond\u003c\/b\u003e\u003c\/i\u003e - applied to the full attack surface of real LLM applications: direct and indirect prompt injection, RAG data poisoning, output leakage, agentic privilege escalation, supply chain compromise, and AI governance. Each chapter uses documented incidents from 2023 to 2026, including the Samsung source code leak, the Air Canada chatbot liability ruling, the Microsoft Copilot email exfiltration attack, and the March 2026 TeamPCP supply chain compromise, to show exactly how defenses fail and what would have stopped them. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat you will learn: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e- Map the complete attack surface of any LLM-powered application in under two hours\u003cbr\u003e- Design architectural instruction-to-data plane separation that stops prompt injection where filters fail\u003cbr\u003e- Harden RAG pipelines against retrieval-time poisoning using provenance tracking and sentinel monitoring\u003cbr\u003e- Classify and scope every trust boundary in agentic multi-agent architectures\u003cbr\u003e- Implement runtime behavioral anomaly detection with a calibrated baseline\u003cbr\u003e- Audit third-party LLM integrations for model provenance, API security, and vendor risk\u003cbr\u003e- Build a red team workflow that finds vulnerabilities specific to your system, not generic ones\u003cbr\u003e- Prevent PII, credential, and system prompt leakage through layered output guardrails\u003cbr\u003e- Execute the six-step 48-hour LLM incident response playbook\u003cbr\u003e- Build an AI security governance framework that survives regulatory and legal scrutiny \u003cp\u003e\u003c\/p\u003e\u003cb\u003eThe CIPHER Framework\u003c\/b\u003e is structured to be applied incrementally - classify first, isolate the highest-risk boundaries, then probe and harden. Each phase produces a deliverable your security team, legal team, and board can evaluate. No specialized tooling required for the core methodology. \u003cp\u003e\u003c\/p\u003eFor \u003cb\u003esecurity engineers\u003c\/b\u003e, \u003cb\u003eDevSecOps practitioners\u003c\/b\u003e, and \u003cb\u003eAI developers\u003c\/b\u003e who need a systematic, tested playbook - not vendor whitepapers or academic abstracts. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eIf your team is shipping LLM-powered applications, the attack surface is already there. This book shows you how to defend it.\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Adriel Voss\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798197466969\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/18\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 142\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.76lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.30d","brand":"Adriel Voss","offers":[{"title":"Paperback","offer_id":50665629483263,"sku":"9798197466969","price":27.49,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/llm-attack-surface-defense-adriel-voss-9798197466969","provider":"WR Book House","version":"1.0","type":"link"}