Early red teaming tools and research began with jailbreaks like "Ignore all previous instructions" and static lists of harmful prompts. At Promptfoo, we took those ideas a step further by dynamically generating attacks based on the context of the target application.
Think of A2A (Agent2Agent) like a universal translator for AI agents. Just as a translator helps people speaking different languages understand each other, A2A helps AI agents from different companies work together smoothly. It's Google's way of making sure AI assistants can talk to each other, no matter who created them.
In an earlier blog post, we discussed the use-cases for RAG architecture and its secure design principles. While RAG is powerful for providing context-aware answers, what if you want an LLM application to autonomously execute tasks? This is where AI agents come in.
We're excited to announce the release of three new red teaming plugins designed specifically for Large Language Model (LLM) agents with access to internal APIs. These plugins address critical security vulnerabilities outlined in the OWASP API Security Top 10: