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§ I · Domain SPC · Control 6 of 9
Control
SPC-06
Edition
v.1.3
Status
Public review

SPC · Agent Specification & Pre-Deployment Assurance

SPC-06Behavior baseline capture

A behavior baseline is captured at deployment, including response distributions, tool-invocation patterns, refusal rates, fairness metrics, and cost/latency profiles, to enable subsequent drift detection.

At the point of deployment, the agent's behavioral profile is captured: response distributions, tool-invocation patterns, refusal rates, fairness metrics under SPC-09, and cost/latency profiles. This baseline is the reference point for drift detection under MON-04 and is updated on every material change.

Table SPC-06.1 · 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.

Baseline metrics are captured and stored for every production agent; baselines are referenced by the drift detection system; baselines have been updated after the most recent material change.

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

    Baseline metrics are captured and stored for every production agent.

  2. E.2

    Baselines are referenced by the drift detection system.

  3. E.3

    Baselines have been updated after the most recent material change.

Table SPC-06.2 · Framework mappings

5 of 7 frameworks carry a control-level reference
NIST AI RMFMEASURE 1.1, MEASURE 1.3NIST AI Risk Management Framework 1.0
ISO/IEC 42001A.6.2.6ISO/IEC 42001:2023 · Artificial intelligence management system
OWASP LLM Top 10·OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)CC7.1, CC8.1AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 9(2), Art. 15(3)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporeMAIGF Testing & Assurance, AI Verify ReproducibilitySingapore 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, SPC-06 Behavior baseline capture. Public review edition, July 2026. https://humanintel.net/standard/spc/spc-06

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

https://humanintel.net/standard/spc/spc-06

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.