{
  "notice": "Illustrative mapping from the AI Governance Engineer Body of Knowledge v0.5.0 (not a claim of conformity)",
  "version": "0.5.0",
  "license": "CC BY 4.0",
  "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
  "schemaVersion": 1,
  "schema": "https://aigovernanceengineer.com/api/v1/schemas/control.json",
  "self": "https://aigovernanceengineer.com/api/v1/controls/aige-ctl-agent-032.json",
  "source": "https://aigovernanceengineer.com/controls/agent-runtime#aige-ctl-agent-032",
  "citation": {
    "title": "AI Governance Engineering: The Thesis & Body of Knowledge",
    "authors": [
      "Jorge García Aibar"
    ],
    "parentDoi": "https://doi.org/10.5281/zenodo.22956197",
    "conceptDoi": "https://doi.org/10.5281/zenodo.22857084"
  },
  "control": {
    "id": "AIGE-CTL-AGENT-032",
    "profile": "agent-runtime",
    "url": "https://aigovernanceengineer.com/controls/agent-runtime#aige-ctl-agent-032",
    "json": "https://aigovernanceengineer.com/api/v1/controls/aige-ctl-agent-032.json",
    "title": "Plan reviewed before it runs",
    "version": "0.2",
    "status": "draft",
    "reviewerStatus": "open",
    "depth": "derived",
    "objective": "For a complex task that a person approves, the agent logs its plan and reasoning for the person to verify, the person can edit the plan before the go-ahead, and the plan that runs is the plan approved; a changed plan needs a new approval.",
    "failureModes": [
      "ASI01: Content the agent processes (a message, a document, a tool result) redirects its goals or plan, so it pursues the attacker's objective with the agent's own tools and permissions.",
      "A plan runs that the person never saw, or a different plan runs from the one approved.",
      "The person can only approve or reject a plan they would have corrected, so a flawed plan runs or the task is lost."
    ],
    "scope": "Agents whose tasks a person approves, where the task is complex enough that the agent plans it before acting.",
    "enforcementPoints": [
      "runtime"
    ],
    "verification": [],
    "evidence": [
      {
        "artefact": "Logged plan, the edits and the go-ahead",
        "schemaId": null,
        "schema": null,
        "layer": 4
      }
    ],
    "failureResponse": {
      "effect": "require_approval",
      "text": "The task waits at its plan until a person approves it, as proposed or edited; a changed plan needs a new approval."
    },
    "layer": 4,
    "secondaryLayers": [],
    "patterns": [
      {
        "slug": "human-in-the-loop-gate",
        "title": "Human-in-the-loop Gate",
        "url": "https://aigovernanceengineer.com/patterns/human-in-the-loop-gate"
      }
    ],
    "seeds": [
      {
        "id": "plan-review",
        "title": "Plan reviewed before it runs",
        "url": "https://aigovernanceengineer.com/bok/governing-agents#where-to-put-a-checkpoint"
      }
    ],
    "derivedFrom": [],
    "mappings": {
      "obligations": [
        {
          "id": "AIGE-OBL-EUAIA-ART14",
          "name": "EU AI Act Art. 14 human oversight",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-euaia-art14"
        },
        {
          "id": "AIGE-OBL-EUAIA-ART15",
          "name": "EU AI Act Art. 15 accuracy, robustness and cybersecurity",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-euaia-art15"
        },
        {
          "id": "AIGE-OBL-OWASP-AGENTIC",
          "name": "Top 10 for Agentic Applications 2026",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-owasp-agentic"
        },
        {
          "id": "AIGE-OBL-NIST-AGENTS",
          "name": "NIST AI Agent Standards Initiative (2026)",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-nist-agents"
        },
        {
          "id": "AIGE-OBL-SG-AGENTIC-CHECKPOINTS",
          "name": "Singapore IMDA Model AI Governance Framework for Agentic AI: human checkpoints for significant actions (voluntary)",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-sg-agentic-checkpoints"
        }
      ],
      "iso42001": [
        {
          "id": "A.6.2.4",
          "title": "AI system verification and validation"
        },
        {
          "id": "A.6.2.6",
          "title": "AI system operation and monitoring"
        }
      ],
      "nistAiRmf": [],
      "owasp": [
        {
          "id": "asi01",
          "externalId": "ASI01",
          "name": "Agent Goal Hijack",
          "url": "https://aigovernanceengineer.com/resources/threats#threat-asi01"
        }
      ],
      "atlas": [],
      "aiuc1": [],
      "csaAicm": [],
      "other": [
        {
          "framework": "IMDA MGF for Agentic AI v1.5",
          "ref": "2.2.2 Design for meaningful human oversight, p.29",
          "note": "Direct fit: Edit the plan before giving the agent the go-ahead; log the plan and reasoning for the user to verify (p.34)"
        }
      ]
    },
    "references": [
      {
        "n": 11,
        "title": "Governing AI agents",
        "text": "Governing AI agents (AI Governance Engineering Body of Knowledge v0.5.0, chapter 23, section \"Where to put a checkpoint\"). AI Governance Engineer (Jorge García Aibar). 2026-09.",
        "url": "https://aigovernanceengineer.com/bok/governing-agents#where-to-put-a-checkpoint",
        "verified": "primary"
      },
      {
        "n": 2,
        "title": "OWASP Top 10 for Agentic Applications for 2026",
        "text": "OWASP Top 10 for Agentic Applications for 2026 (ASI01 Agent Goal Hijack to ASI10 Rogue Agents). OWASP GenAI Security Project. 2025-12-09.",
        "url": "https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/",
        "verified": "primary"
      },
      {
        "n": 3,
        "title": "ISO/IEC 42001:2023, AI management systems, Annex A",
        "text": "ISO/IEC 42001:2023, AI management systems, Annex A (reference control objectives and controls A.2 to A.10, cited by id and short title). ISO/IEC. 2023.",
        "url": "https://www.iso.org/standard/81230.html",
        "verified": "secondary"
      },
      {
        "n": 4,
        "title": "Model AI Governance Framework for Agentic AI, v1.5",
        "text": "Model AI Governance Framework for Agentic AI, v1.5 (published 2026-05-20, updated 2026-06-05; four dimensions: assess and bound the risks upfront, make humans meaningfully accountable, implement technical controls and processes, enable end-user responsibility). IMDA. 2026-06-05.",
        "url": "https://www.imda.gov.sg/-/media/imda/files/about/emerging-tech-and-research/artificial-intelligence/mgf-for-agentic-ai.pdf",
        "verified": "primary"
      }
    ],
    "implementationNotes": [],
    "openQuestions": [
      "Verification procedure and evidence schema to be specified; requires technical review."
    ],
    "observation": null,
    "observationSchema": "https://aigovernanceengineer.com/schemas/control-observation.v1.json",
    "examples": []
  }
}