PRIME MEMBER EXCLUSIVE | 3 Months Free Trial

Auto-renews at INR 199/mo after 3 months. Cancel anytime. Offer ends 15 July, 2026.
The Developer's Playbook for Large Language Model Security cover art

The Developer's Playbook for Large Language Model Security

Building Secure AI Applications

Preview
LIMITED TIME OFFER
3 Months Free Trial
Get this deal
Offer ends on 15 July, 2026 at 11:59 PM IST.
1 credit a month to use on any title.
Listen to anything from the Plus Catalogue—thousands of Audible Originals, podcasts and audiobooks.
₹199 per month after 3 months. Renews automatically. Cancel anytime. Offer ends 15 July, 2026 at 11:59 PM IST.
Download titles to your library and listen offline.

The Developer's Playbook for Large Language Model Security

Written by: Steve Wilson
Narrated by: Jonathan Yen
Get this deal

₹199 per month after 3 months. Renews automatically. Cancel anytime. Offer ends 15 July, 2026 at 11:59 PM IST.

Buy Now for ₹667.71

Buy Now for ₹667.71

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!

©2024 Stephen Wilson (P)2025 Ascent Audio
Computer Science Security & Encryption
adbl_web_anon_alc_button_suppression_t1
No reviews yet