Developer's Playbook for Large Language Model Security

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Large Language Models (LLMs) AI Security AI Ethics GPT-3 GPT-4 Text Generation Natural Language Processing (NLP) Data Privacy Machine Learning Security Misinformation Prevention Offensive Content Detection OWASP for LLMs AI Risk Management Responsible AI
Large Language Models (LLMs) AI Security AI Ethics GPT-3 / GPT-4 Text Generation Natural Language Processing (NLP) Data Privacy Machine Learning Security Misinformation Prevention Offensive Content Detection OWASP for LLMs AI Risk Management Responsible A
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Product details

  • ISBN 9781098162207
  • Dimensions: 178 x 232mm
  • Publication Date: 13 Sep 2024
  • Publisher: O'Reilly Media
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
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Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models. 

Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list-a feat accomplished by more than 400 industry experts-this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI. 

You'll learn: 
  • Why LLMs present unique security challenges How to navigate the many risk conditions associated with using LLM technology 
  • The threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained 
  • How to identify the top risks and vulnerabilities associated with LLMs 
  • Methods for deploying defenses to protect against attacks on top vulnerabilities 
  • Ways to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization

Steve Wilson is a leader and innovator in AI, cybersecurity, and cloud computing with over 20 years of experience. He is the founder and project leader at the OWASP Foundation, where he leads the creation of the “Top 10 List for Large Language Model Applications,” a comprehensive reference for Generative AI security. This list educates developers, designers, architects, and organizations about critical security vulnerabilities and risks in deploying and managing LLM technology.

He is also the Chief Product Officer at Exabeam, a global cybersecurity company that uses AI and machine learning for threat detection and investigation. He has previously worked at Citrix and Oracle and was an early member of the team that developed Java at Sun Microsystems. He holds a degree in Business Administration from the University of San Diego and a second-degree black belt from the American Taekwondo Association.