{
 "id": "p2026-09-06-141",
 "received": "2026-09-06T09:39:39-04:00",
 "proposer": "researcher (opus), brief 2026-09-06, era-2024-2026",
 "kind": "entry",
 "sha": "19b1032733b0653d",
 "data": {
  "kind": "entry",
  "tech": "aixcc-crs",
  "tech_name": "Cyber Reasoning Systems (DARPA AI Cyber Challenge finalists)",
  "definition": "LLM-driven agents fit to code and text, searching and patching source repositories autonomously",
  "from": "2025-08-08",
  "region": "world",
  "domain": "safety",
  "side": "benefit",
  "people": {
   "n": 18,
   "unit": "previously unknown vulnerabilities in widely used open-source software",
   "date": "2025-08-08"
  },
  "effect": {
   "n": 11,
   "unit": "patches",
   "date": "2025-08-08",
   "what": "patches produced for real, non-synthetic vulnerabilities, disclosed to maintainers; all seven finalist systems released as open source"
  },
  "reversible": true,
  "switch": "nobody",
  "statistic": "At the AIxCC final (DEF CON 33, Aug 2025) the seven finalist systems analysed more than 54 million lines of code, identified 86% of synthetic vulnerabilities and patched 68% of those, and additionally found 18 real, previously unknown vulnerabilities (6 in C, 12 in Java) and supplied 11 patches; every finalist system was open-sourced.",
  "source": "https://www.darpa.mil/news/2025/aixcc-results",
  "quote": "teams also discovered 18 real, non-synthetic vulnerabilities that are being responsibly disclosed to open source project maintainers",
  "attribution": "named",
  "source_kind": "primary"
 },
 "from_file": "impacts/harvest/2026-09-06-era-2024-2026.md"
}