In “The Developer’s Playbook for Large Language Model Security,” Steve Wilson, Chief Product Officer at Exabeam, addresses the growing integration of large language models (LLMs) into various industries and the accompanying security challenges. Leveraging over two decades of experience in AI, cybersecurity, and cloud computing, Wilson offers a practical guide for security professionals to navigate the complex landscape of LLM vulnerabilities.
A notable aspect of the book is its alignment with the OWASP Top 10 for LLM Applications project, which Wilson leads. This connection ensures that the security risks discussed are vetted by a global network of experts. The playbook delves into critical threats such as data leakage, prompt injection attacks, and supply chain vulnerabilities, providing actionable mitigation strategies for each.
Wilson emphasizes the unique security challenges posed by LLMs, which differ from traditional web applications due to new trust boundaries and attack surfaces. The book offers defensive strategies, including runtime safeguards and input validation techniques, to harden LLM-based systems. Real-world case studies illustrate how attackers exploit AI-driven applications, enhancing the practical value of the guidance provided.
Structured to serve both as an introduction and a reference guide, “The Developer’s Playbook for Large Language Model Security” is an essential resource for security professionals tasked with safeguarding AI-driven applications. Its technical depth, practical strategies, and real-world examples make it a timely and relevant addition to the field of AI security.
The Developer’s Playbook for Large Language Model Security: Building Secure AI Applications
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