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The Arcanum Codex: An Encyclopedia of AI Hacking Architectures
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ISBN13: 9798272712912
Publisher: Independently Published
Published: Nov 2 2025
Pages: 224
Weight: 1.17
Height: 0.47 Width: 8.50 Depth: 11.00
Language: English
Publisher: Independently Published
Published: Nov 2 2025
Pages: 224
Weight: 1.17
Height: 0.47 Width: 8.50 Depth: 11.00
Language: English
The Arcanum Codex: An Encyclopedia of AI Hacking Architectures, is a definitive grimoire for the new era of cyber conflict waged on the terrain of artificial intelligence. Published in the near-future of 2025, the book argues that AI is no longer a mere tool but a complex, vulnerable ecosystem, and that hacking it is not about isolated tricks but about a strategic, multi-stage campaign.
The central thesis of the codex is the philosophy of the unyielding pivot. It posits that the most devastating AI exploits are not single events but a chain reaction, where a compromise in one layer of the AI stack is used as a stepping stone, or pivot, to gain access to the next.
The book's structure is built around the Arcanum LLM Assessment Methodology, a six-layer framework for holistically analyzing and attacking an AI system:
The book's structure is built around the Arcanum LLM Assessment Methodology, a six-layer framework for holistically analyzing and attacking an AI system:
- Part I: Foundations of AI Fragility serves as the foundational lore, dissecting the inherent blind spots of modern AI. It explores the architectural weaknesses of Transformer models, the expanded attack surface of multimodal inputs (text, image, audio), and the profound dangers introduced by agentic frameworks like LangChain and CrewAI, which give AI the power to act.
- Part II: The Arcanum LLM Assessment Methodology is the strategic core, dedicating a chapter to each of the six layers of attack. It guides the reader through a methodical campaign, starting with Layer 1 (Inputs), pivoting to Layer 2 (The Ecosystem) of APIs and cloud infrastructure, then assaulting Layer 3 (The Model) itself, subverting Layer 4 (The Prompt Engineering), poisoning Layer 5 (The Data), and finally compromising Layer 6 (The Application).
- Part III: The Prompt Injection Armory provides a deep, taxonomic dive into prompt hacking, the scalpel of the craft. It classifies every known attack according to the ITEU model (Intents, Techniques, Evasions, Utilities). It details the attacker's goals (from system prompt leaks to business logic bypasses), their methods (from narrative framing to structural subterfuges), and their disguises (from emoji smuggling to metaphorical language).
- Part IV: Agentic Horizons explores the frightening future where AI becomes both attacker and ally. It details the rise of offensive agent swarms that can automate hacking at machine speed, while also outlining the architecture of defensive AI guardians that can find, analyze, and even fix their own vulnerabilities in minutes. This section frames the coming conflict as a new automation arms race.
- Part V: Bastions of Defense pivots from offense to a practical blueprint for security. Using the Arcanum Methodology as a defensive map, it lays out a defense-in-depth strategy. Key concepts include building multi-modal AI Firewalls, enforcing the Principle of Least Privilege in Data and Tool Sanctums, and the necessity of AI Security Posture Management (AI-SPM) to hunt down the Shadow AI sprawling across modern enterprises.
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