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§ I · Domain GOV · Control 7 of 12
Control
GOV-07
Edition
v.1.3
Status
Public review

GOV · Governance & Accountability

GOV-07Personnel training

Personnel involved in agent operations complete role-appropriate training on agent security and responsible AI at least annually.

Everyone involved in the agent lifecycle, developers, operators, reviewers, risk owners, receives training appropriate to their role on agent security, responsible AI practices, and the organization's AI policies. Training is refreshed at least annually and covers the specific risks and controls relevant to the agents those personnel work with.

Table GOV-07.1 · 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.

Training records exist for all relevant personnel; training content is current and role-specific; completion rates are tracked and gaps are remediated within a documented SLA.

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

    Training records exist for all relevant personnel.

  2. E.2

    Training content is current and role-specific.

  3. E.3

    Completion rates are tracked and gaps are remediated within a documented SLA.

Table GOV-07.2 · Framework mappings

5 of 7 frameworks carry a control-level reference
NIST AI RMFGOVERN 3.1, GOVERN 3.2NIST AI Risk Management Framework 1.0
ISO/IEC 420017.2, 7.3ISO/IEC 42001:2023 · Artificial intelligence management system
OWASP LLM Top 10·OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)CC1.4AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 9(9)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporeMAIGF Internal GovernanceSingapore 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.

Cite this control

Human Intelligence. HI-AAF v1.3, GOV-07 Personnel training. Public review edition, July 2026. https://humanintel.net/standard/gov/gov-07

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

https://humanintel.net/standard/gov/gov-07

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.