
The Generative AI Security Podcast Continuous Red Teaming for AI: Insights from OWASP Experts - GenAI Security Ep.6
12 snips
Apr 4, 2025 Discover the vital role of continuous red teaming in AI security. The discussion highlights the challenges of securing evolving AI systems against vulnerabilities like jailbreaks and data poisoning. Learn about innovative tools designed to improve red teaming accuracy for agent-driven workflows. The conversation also dives into the complexities of deploying these frameworks in real-world scenarios and the potential security threats faced by autonomous robots. Don't miss the insights on proactive measures to safeguard AI applications!
AI Snips
Chapters
Transcript
Episode notes
Continuous Red Teaming Advice
- Notify your security team when upgrading LLMs or changing system prompts.
- Integrate security checks into your development process, especially during major AI system upgrades.
AI Red Teaming vs. Web App Scanning
- AI red teaming differs significantly from traditional web application scanning.
- Testing AI requires various languages, encodings, and formats due to its non-deterministic nature.
Red Teaming Complex AI Systems
- Red teaming for AI now needs to consider agents, RAG, and multiple LLMs.
- Target not just the chatbot but also the other agents and components it interacts with.
