Living definition
What is DeepMind Frontier Safety Framework v3 (Tracked Capability Levels)?
AI Safety, Eval & Alignment Security & Identity
- As of
- 2026-07-23
- Revision
- 2026-07-26.0
- Method
- v1.3.0
Definition
The term, in context
AI-assisted draft · approved dataset
The Frontier Safety Framework is DeepMind's internal protocol for identifying capability thresholds at which an advanced model could enable severe harm, and for binding specified mitigations to each threshold before it is crossed. Its third version organizes those thresholds as capability levels spanning areas such as cyber operations, biosecurity uplift, and a model's potential to undermine human oversight, with each level re-assessed as models are trained and evaluated.
Live readiness status
Status as of the current dateline
AI-assisted assembly · derived results
As of 2026-07-23, verified readiness is 61 (claimed 75, reported 69, gap 14) — Strong evidence strength; current signals suggest Track; not yet.
The readiness fact belongs to the canonical Readiness Verdict for DeepMind Frontier Safety Framework v3 (Tracked Capability Levels).
Dataset approval
Human editorial release
pragma.vision editorial — standing authorization (operator dev@soft.house, 2026-07-17)
- Dataset
- 2026-07-26.0
- Hash
- sha256:e2eb667df093db8819d579dff9aad51021b4977da85db2dfa82f63f9ed4e72b7
- Approved
- 2026-07-26