DEF CON 33: Field Notes on AI Security, AI Red Teaming, and the Road Ahead
Summary
DEF CON 33 field notes: CSET frames AI red teaming as a repeatable evaluation method alongside benchmarking, urging transparent reporting so findings feed policy and deployment decisions.
- Published
- Collected
--- id: 1185 title: "DEF CON 33: Field Notes on AI Security, AI Red Teaming, and the Road Ahead" source_domain: hackerone.com source_url: "https://www.hackerone.com/blog/defcon33-ai-security" published_at: "2025-08-21 14:03" tags: ["ai-security", "def-con", "llm", "policy", "ai-red-teaming", "evaluation"] phying_url: "https://phying.com/item/1185" lang: en --- # DEF CON 33: Field Notes on AI Security, AI Red Teaming, and the Road Ahead ## Summary DEF CON 33 field notes: CSET frames AI red teaming as a repeatable evaluation method alongside benchmarking, urging transparent reporting so findings feed policy and deployment decisions. ## Intelligence Metadata - **Sources:** hackerone.com - **Published:** 2025-08-21 14:03 - **Original:** https://www.hackerone.com/blog/defcon33-ai-security - **Phying News:** https://phying.com/item/1185