The paper also includes 16 different areas of testing in Appendix A that is very useful such as:
- CBRN Risks
- Violence & Self Harm
- Dangerous Planning
- Cybersecurity
- Privacy
- Law

4. Synthesizing the data and creating evaluations

2. Determining the versions of the model or system to which the red teamers will have access

3. Creating and providing interfaces, instructions, and documentation guidance to red teamers

Effective red team campaign components:
1. Deciding the composition of the red teaming cohort based on the outlined goals and prioritized domains for testing
• What open questions do we have about the model or system?
• What threat model(s) should red teamers take into account?

Agents are the next thing

Organizations are adopting RAG at 51% while fine tuning is down at 9% from last year’s 19%

- Top industry adoption of AI:
- Healthcare
- Legal
- Financial services
- Media & entertainment

- Top use cases are:
- Code copilot 51%
- Support chatbots 31%
- Enterprise search/data extraction 28%
- Meeting summarization 24%

$13.8 billion in AI spend

Thanks for sharing about HyperShield, I hadn’t heard of it. It seems like a lot of risk for a bad a FW rule to be pushed and killing businesses operations. Hopefully AI is only writing the rule and not implementing it.