Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
LLM Attack Surface Defense: Protecting AI Applications from Adversarial Exploits and Advanced Threats

LLM Attack Surface Defense: Protecting AI Applications from Adversarial Exploits and Advanced Threats

Voss, Adriel

Paperback

Computer Security

ISBN13: 9798197466969
Publisher: Independently Published
Published: May 18 2026
Pages: 142
Weight: 0.76
Height: 0.30 Width: 8.50 Depth: 11.00
Language: English
Your LLM application passed every standard security review - 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.

LLM Attack Surface Defense delivers the CIPHER Framework - a six-phase methodology covering Classify, Isolate, Probe, Harden, Examine, and Respond - 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.

What you will learn:

- Map the complete attack surface of any LLM-powered application in under two hours

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