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Overview: Large Language Models (LLMs) are not just shaping the trajectory of Artificial Intelligence (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. The primary audience for this book is development teams that are building custom applications that embed LLM technologies. Through my recent work in this area, I’ve come to understand that these teams are often large and their members include an incredibly diverse set of backgrounds. These include software developers skilled in “web app” technologies who are taking their first steps with AI. These teams may also consist of AI experts who are bringing their craft out of the back office for the first time and into the limelight, where the security risks are much different. They also include application security pros and Data Science specialists.
Genre: Non-Fiction > Tech & Devices
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