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§ I · Domain MON · Control 8 of 12
Control
MON-08
Edition
v.1.3
Status
Public review

MON · Continuous Monitoring & Human Oversight

MON-08Post-incident learning loop

Post-incident reviews feed corrective actions into the agent's evaluation set, behavior specification, and policies, closing the learning loop.

Post-incident reviews feed corrective actions back into the agent's evaluation set (SPC-07), behavior specification (SPC-01), and organizational policies, closing the learning loop. Without this feedback mechanism, the organization is condemned to repeat the same failures. Each incident should result in at least one new test case, policy update, or specification change.

Table MON-08.1 · Maturity criteria · v.1.3

L1 to L5 · the lowest level in scope caps the agent
L1Ad hoc

Controls exist informally; documentation is incomplete; no consistent review.

L2Documented

Controls are written down; ownership is assigned; review cadence is defined.

L3Operated

Controls are followed in practice; evidence is collected; deviations are tracked.

Post-incident review process is documented; at least one incident (or drill) has resulted in updates to the evaluation set, specification, or policies; the feedback loop is demonstrable.

L4Measured

Control effectiveness is measured against documented thresholds; trends are reported.

L5Continuously Improved

Controls evolve based on incident learning; maturity gains are evidenced over time.

The v1.3 edition publishes a control-specific criterion at L3 (Operated). The other levels apply the general ladder to this control; see the maturity ladder.

Evidence an assessor asks for

  1. E.1

    Post-incident review process is documented.

  2. E.2

    At least one incident (or drill) has resulted in updates to the evaluation set, specification, or policies.

  3. E.3

    The feedback loop is demonstrable.

Table MON-08.2 · Framework mappings

4 of 7 frameworks carry a control-level reference
NIST AI RMFMANAGE 4.3NIST AI Risk Management Framework 1.0
ISO/IEC 42001·ISO/IEC 42001:2023 · Artificial intelligence management system
OWASP LLM Top 10·OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)CC7.5AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 14(4)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporeMAIGF Incident Reporting, AI Verify Human Agency & OversightSingapore Model AI Governance Framework / AI Verify / PDPA

Mappings are directional: meeting this control evidences but does not by itself satisfy the external requirement. A middle dot means no control-level reference is published at this edition; see the crosswalk.

Related controls and terms

Cite this control

Human Intelligence. HI-AAF v1.3, MON-08 Post-incident learning loop. Public review edition, July 2026. https://humanintel.net/standard/mon/mon-08

Edition v.1.3 · July 2026 · Public review · Markdown · PDF

https://humanintel.net/standard/mon/mon-08

Notice

HI-AAF v1.3 is an independent framework published by Human Intelligence. It is not affiliated with NIST, ISO, AICPA, or any government or accreditation body. The framework is offered openly for review during the current draft cycle.