{
 "license": "CC-BY-4.0",
 "attribution": "Fide AI, Agentic Cyber Explorer",
 "url": "https://agentic-cyber-explorer.pages.dev/findings/production-monitors-catch-escalated-incidents/",
 "asOf": "2026-09-26",
 "id": "production-monitors-catch-escalated-incidents",
 "claim": "OpenAI reports its internal coding-agent monitor matched every staff escalation, and OpenAI and Google DeepMind report that most flags reflect overeagerness or mistakes rather than adversarial intent.",
 "evidenceKind": "reported",
 "scope": "Self-reported by the labs about their own agents and monitors.",
 "topics": [
  "monitoring-and-control"
 ],
 "atlas": [
  "monitor"
 ],
 "evidence": [
  {
   "event": "openai-internal-coding-agent-monitoring-2026"
  },
  {
   "event": "deepmind-ai-control-roadmap-2026"
  }
 ],
 "relations": [],
 "statusHistory": [
  {
   "status": "reported",
   "on": "2026-03-19",
   "why": "OpenAI reports its monitor matched every staff-escalated incident.",
   "event": "openai-internal-coding-agent-monitoring-2026",
   "kind": "evidence"
  },
  {
   "status": "qualified",
   "on": "2026-07-23",
   "why": "UK AISI shows optimized attacks can drive monitor suspicion near zero.",
   "event": "uk-aisi-control-red-team-monitors-2026",
   "kind": "evidence"
  }
 ],
 "halfLifeDays": 270,
 "wouldChange": "Independent red-teaming of a production monitoring deployment.",
 "fideQuestions": [
  "FID-076"
 ],
 "methods": [
  "ai-monitoring"
 ],
 "review": "assistant-drafted",
 "addedOn": "2026-09-25"
}