AI Product Security Newsletter - Vol 2. Issue 2
Pangea Prompt Guard Now in Beta
We’re excited to announce that Prompt Guard is now in Beta! – Designed to address the most pressing AI security challenges.
Prompt Guard identifies and stops direct and indirect prompt injection attacks, a growing threat where systems are manipulated into unwanted or adversarial behaviors. As enterprises integrate LLMs and Retrieval-Augmented Generation (RAG) architectures into their environment, guarding against these emerging threats becomes critical.
Article: How To Ensure Visibility in Your AI Apps with Proper Logging
This recent blog dives into the essential role of logging in AI systems, helping teams maintain security, compliance, and operational excellence, and how logging helps detect vulnerabilities identified in the OWASP? Foundation Top Ten LLMs, ensuring secure and reliable AI applications. Written by Vanessa Villa .
Article: AI Prompt and Inference Pipeline Threats
From inference attacks to adversarial manipulation, threats targeting AI models can compromise data integrity and expose sensitive information. This article explores the key risks AI-powered apps face and how teams can mitigate them. Written by Jim Hoagland .
领英推荐
Resource: Explore MIT’s Comprehensive Repository to AI Risk Management
The MIT AI Risk Repository provides a database of over 1000 AI risks categorized by their cause and risk domain.
The repository explores key AI risks, offering frameworks and strategies to assess, manage, and align AI innovation with ethical, cybersecurity, and compliance goals.
On-Demand Webcast: AppSec Risks in the AI Era
Our friends at ArmorCode Inc. recently hosted a webinar to explore how leading organizations are solving Appsec risk challenges in real-time.
In this on-demand webcast, experts from NetApp , The Motley Fool and S&P Global will explore:
Stay tuned for more updates in the next edition of the AI Product Security Newsletter!