
The Developer's Playbook for Large Language Model Security
Building Secure AI Applications
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
2か月間月額99円+ 最大700円分のAmazonギフトカードプレゼント!
-
ナレーター:
-
Jonathan Yen
-
著者:
-
Steve Wilson
このコンテンツについて
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
● How to identify the top risks and vulnerabilities associated with LLMs
● Methods for deploying defenses to protect against attacks on top vulnerabilities
● And more