A CISO’s Guide to Securing LLMs: Insights from Steve Wilson’s Playbook

In his review of Steve Wilson’s book The Developer’s Playbook for LLM Security, cybersecurity leader Vikas Singh Yadav highlights the book as an essential resource for CISOs navigating the complexities of generative AI and large language model (LLM) security. Wilson structures the book into three sections: foundational concepts, risk analysis, and strategic planning. He begins with a case study of Microsoft’s Tay chatbot to underscore potential pitfalls, then delves into LLM architecture and data flows. The book examines threats like prompt injection, data leakage, hallucinations, and supply chain vulnerabilities, offering mitigation strategies such as implementing Zero Trust principles and output filtering. In the final section, Wilson introduces the RAISE framework—Responsible Artificial Intelligence Software Engineering—which encompasses domain limitation, knowledge base balancing, Zero Trust implementation, supply chain management, AI red teaming, and continuous monitoring. Yadav notes that while the book provides a solid foundation in GenAI security, it could benefit from practical exercises and coverage of emerging topics like Agentic AI and Model Context Protocols. He recommends supplementing the book with resources like NIST's AI Risk Framework, Databricks' AI security framework, and OWASP's LLM and AI Security and Governance Checklist. 

https://www.linkedin.com/pulse/ai-security-roadmap-every-ciso-needs-my-review-steve-wilsons-yadav-5o0xc

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