AI Risk Wire

Controls

Drift monitoring

Accuracy and behaviour in live use are measured over time, with alerts when they slip.

Layer L3 Application · Owner Deployer · Family Monitoring, logging and response

Effective
Not effective
Not effective (bypassed)
Did not exist

By risk

RiskIncidents where the control was not effective or did not existIncidents where the control was effectiveIncidents where sources don't mention the control
Made-up output relied on7
Silent wrong state or drift

Why it was not effective

No incident yet records this control as not effective.

Incidents where it was not effective or did not exist per day

0 on 1 Nov 2026; average of the 7 days before: 0.

4 Oct 2026: 05 Oct 2026: 06 Oct 2026: 07 Oct 2026: 08 Oct 2026: 09 Oct 2026: 010 Oct 2026: 011 Oct 2026: 012 Oct 2026: 013 Oct 2026: 014 Oct 2026: 015 Oct 2026: 016 Oct 2026: 017 Oct 2026: 018 Oct 2026: 019 Oct 2026: 020 Oct 2026: 021 Oct 2026: 022 Oct 2026: 023 Oct 2026: 024 Oct 2026: 025 Oct 2026: 026 Oct 2026: 027 Oct 2026: 028 Oct 2026: 029 Oct 2026: 030 Oct 2026: 031 Oct 2026: 01 Nov 2026: 02 Nov 2026: 0 6 Oct9 Oct12 Oct15 Oct18 Oct21 Oct24 Oct27 Oct30 Oct2 Novto date

0 of 3 incidents in 1 Nov 2026 have been read for controls.

Added in reported fixes, and what followed

No reported fix names this control yet.

Frameworks

StandardClauseRequirement
NIST AI RMFMEASURE 2.4To verify when the text is stored