Microsoft’s AI Red Team just published “Lessons from
Red Teaming 100 Generative AI Products.” Their blog post lists “three takeaways,” but the eight lessons in the report itself are more useful:
- Understand what the system can do and where it is applied.
- You don’t have to compute gradients to break an AI system.
- AI red teaming is not safety benchmarking.
- Automation can help cover more of the risk landscape.
- The human element of AI red teaming is crucial.
- Responsible AI harms are pervasive but difficult to measure.
- LLMs amplify existing security risks and introduce new ones.
- The work of securing AI systems will never be complete.
Tags: AI, computer security, cyberattack, LLM, Microsoft