Baselines and drift
A declared baseline describes the workflow and operating conditions to compare against: intended use, model and tool versions, data sources, permissions, rules and oversight. The earlier Glacis material calls an authored control baseline a Charter. STABLE GROUNDED · Labs
Interpret the event
Section titled “Interpret the event”| Event | What to investigate |
|---|---|
| Drift | Measurement change, traffic mix, detector version, material behaviour |
| Scope exceedance | Attempt versus completed action, rule, mediation and effect |
| Release / version change | Deployed state, provenance, shared dependency, approval |
| Missing evidence | Excluded path, capture failure, retention, outage or bypass |
| Changed review | Reviewer authority, quality, throughput and exceptions |
A baseline is not proof that the control is suitable. A drift alert is not an automatic loss, coverage breach, payout or actuarial variable. Thresholds and responses need a declared purpose, reviewer and validation. STABLE
Blocking a request at a mediated boundary may interrupt a failure path. Streaming truncation can leave earlier output delivered. Neither establishes a portfolio loss-frequency reduction or premium benefit without separate evidence. STABLE
Continue
Section titled “Continue”→ Receipts and the Notary · Drift and change control
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