The Developer's Playbook for Large Language Model Security
Building Secure AI Applications
Published on 13. September 2024
Book
Paperback/Softback
250 pages
978-1-0981-6220-7 (ISBN)
Description
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
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
More details
Language
English
Place of publication
Sebastopol
United States
Dimensions
Height: 228 mm
Width: 174 mm
Thickness: 13 mm
Weight
332 gr
ISBN-13
978-1-0981-6220-7 (9781098162207)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
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.
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.