Governance attributes for the AI Agents Inventory - AI Agents Inventory and Attributes
Governance attributes for the AI Agents Inventory
(Chapter 14 of AI Agents Inventory and Attributes)
Executive Summary: Chapter Overview
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Core Concepts
| Concept | Definition & Strategic Role |
|---|---|
| Related Regulations | The laws, regulations, and directives that constrain the agent, linked to the Regulations Inventory. |
| Guardrail Policies | The governance rules compiled into enforceable constraints on what the agent may do or say (policy-as-prompt). |
Quick Q&A
Question: How do governance rules reach a running agent?
Read More Below
Governance attributes tie each agent to the policies, regulations, and governing bodies that constrain and oversee it.
| Attribute Name | Maturity | Description and Notes |
|---|---|---|
| Governing Body | Crawl | Description — The committee or function that governs the agent — for example an AI review board or architecture governance body. Benefit(s) — Establishes where oversight decisions about the agent are made and recorded. Source — Manual. Examples — AI Governance Board |
Related Policies, Standards, and Best Practices [Multi-Value] | Walk | Description — The internal governance instruments the agent must comply with. Benefit(s) — Makes the agent’s policy obligations explicit and reviewable. Source — Derived. Examples — AI Acceptable Use Policy; Model Risk Standard Notes — Links to the Policies, Standards, and Best Practices Inventory. |
Related Regulations [Multi-Value] | Walk | Description — The laws, regulations, and directives that constrain what the agent may do or say. Benefit(s) — Connects the agent to its regulatory constraints and, through them, to obligations and agencies. Source — Derived. Examples — EU AI Act; GDPR; HIPAA; FINRA rules Notes — Links to the Regulations Inventory (which covers laws, regulations, and directives). |
Guardrail Policies [Multi-Value] | Walk | Description — The governance rules compiled into enforceable guardrails that constrain the agent’s behavior at runtime. Benefit(s) — Turns policy into enforcement — the bridge from written rule to runtime constraint. Source — Manual. Examples — No PII in outputs; No financial advice Notes — Configuration detail is captured in the Technical and Autonomy and Behavioral Controls categories. |
| Governance Review Cadence | Walk | Description — How often the agent is formally reviewed by its governing body. Benefit(s) — Ensures oversight keeps pace with an agent that can change quickly. Source — Manual. Examples — Quarterly |
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