The cybersecurity perimeter is no longer a physical wall—it is a natural language prompt. https://amzn.to/3ThfuUu
For decades, security was built on “static determinism,” assuming code would behave exactly as written. The era of Generative AI has shredded that assumption. In Defending the Algorithm, cybersecurity expert Anthony Farrior provides the first comprehensive tactical blueprint for securing the generative stack, moving organizations from blind trust in models to defensive orchestration.As AI agents transition from simple chatbots to privileged users capable of executing code and managing files, the stakes have never been higher. This playbook deconstructs the unique vulnerabilities of the AI lifecycle—from data poisoning in the training phase to the “logic hijacking” of agentic workflows.Inside this playbook, you will discover:
- The Illusion of Firewalls: Why traditional WAFs are blind to prompt injection and how to build “Semantic Firewalls.”
- The Heppner Precedent: Understanding the “technological waiver” and why inputting data into non-sovereign AI can legally declare your proprietary data public.
- Securing the RAG Pipeline: How to defend the “Retrieval-Augmented Generation” bridge and prevent Indirect Prompt Injection (IPI).
- Zero Trust & Enterprise Sovereignty: The architectural mandate for hosting private, scoped, and static models to retain absolute data ownership.
- Compliance as Code: Navigating the rigid mandates of the EU AI Act and the NIST AI RMF to turn regulation into a competitive moat.
- The 30-Day Audit: A step-by-step checklist to inventory, map, and harden your enterprise AI infrastructure.
Whether you are a CISO, a security engineer, or a developer, this book is your guide to the new front line of information technology. It is time to treat your AI pipeline with the same rigor as your core infrastructure.
Read the book here https://amzn.to/3QGhB3A
