Kirk Borne

From @PacktDataML — available at https://t.co/fmHgkRo26I "AI-Native LLM Security — Threats, Defenses, and Best Practices for Building Safe and Trustworthy AI" 𝘽𝙤𝙤𝙠 𝘿𝙚𝙨𝙘𝙧𝙞𝙥𝙩𝙞𝙤𝙣: "Adversarial AI attacks present a unique set of security challenges, exploiting the very foundation of how AI learns. This book explores these threats in depth, equipping cybersecurity professionals with the tools needed to secure generative AI and LLM applications. Rather than skimming the surface of emerging risks, it focuses on practical strategies, industry standards, and recent research to build a robust defense framework. Structured around actionable insights, the chapters introduce a secure-by-design methodology, integrating threat modeling and MLSecOps practices to fortify AI systems. You’ll discover how to leverage established taxonomies from OWASP, NIST, and MITRE to identify and mitigate vulnerabilities. Through real-world examples, the book highlights best practices for incorporating security controls into AI development life cycles, covering key areas such as CI/CD, MLOps, and open-access LLMs."