{
  "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-023.json",
  "source": "https://aigovernanceengineer.com/controls/agent-runtime#aige-ctl-agent-023",
  "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-023",
    "profile": "agent-runtime",
    "url": "https://aigovernanceengineer.com/controls/agent-runtime#aige-ctl-agent-023",
    "json": "https://aigovernanceengineer.com/api/v1/controls/aige-ctl-agent-023.json",
    "title": "Memory write gate and rollback",
    "version": "0.1",
    "status": "draft",
    "reviewerStatus": "open",
    "depth": "derived",
    "objective": "Writes are events that carry their source; untrusted content cannot write to long-term memory without a gate; memory is isolated per user and per task; retention is code; memory can be rolled back to a known-good snapshot.",
    "failureModes": [
      "ASI06: Stored memory, retrieval stores or carried context are corrupted so the poison persists across sessions and shapes later decisions."
    ],
    "scope": "Agents with memory: context, conversation threads, long-term memory, retrieval corpora or memory shared with other agents.",
    "enforcementPoints": [
      "runtime"
    ],
    "verification": [],
    "evidence": [
      {
        "artefact": "Memory write events with provenance; retention jobs; rollback drills",
        "schemaId": null,
        "schema": null,
        "layer": 4
      }
    ],
    "failureResponse": {
      "effect": "alert",
      "text": "To be specified."
    },
    "layer": 4,
    "secondaryLayers": [
      3
    ],
    "patterns": [
      {
        "slug": "runtime-guardrail",
        "title": "Runtime Guardrail",
        "url": "https://aigovernanceengineer.com/patterns/runtime-guardrail"
      }
    ],
    "seeds": [
      {
        "id": "memory-governance",
        "title": "Memory write gate and rollback",
        "url": "https://aigovernanceengineer.com/bok/governing-agents#memory-and-context-governance"
      }
    ],
    "derivedFrom": [],
    "mappings": {
      "obligations": [
        {
          "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-EUAIA-ART12",
          "name": "EU AI Act Art. 12 record-keeping and logging",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-euaia-art12"
        },
        {
          "id": "AIGE-OBL-OWASP-AGENTIC",
          "name": "Top 10 for Agentic Applications 2026",
          "url": "https://aigovernanceengineer.com/obligations/aige-obl-owasp-agentic"
        }
      ],
      "iso42001": [
        {
          "id": "A.6.2.6",
          "title": "AI system operation and monitoring"
        },
        {
          "id": "A.6.2.8",
          "title": "AI system recording of event logs"
        }
      ],
      "nistAiRmf": [],
      "owasp": [
        {
          "id": "asi06",
          "externalId": "ASI06",
          "name": "Memory & Context Poisoning",
          "url": "https://aigovernanceengineer.com/resources/threats#threat-asi06"
        }
      ],
      "atlas": [],
      "aiuc1": [],
      "csaAicm": [],
      "other": []
    },
    "references": [
      {
        "n": 24,
        "title": "Governing AI agents",
        "text": "Governing AI agents (AI Governance Engineering Body of Knowledge v0.5.0, chapter 23, section \"Memory and context governance\"). AI Governance Engineer (Jorge García Aibar). 2026-09.",
        "url": "https://aigovernanceengineer.com/bok/governing-agents#memory-and-context-governance",
        "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"
      }
    ],
    "implementationNotes": [
      "Match the control to the memory: provenance tags for the context window, per-session isolation for threads, a write gate, per-user namespace, time to live and erasure path for long-term memory, source admission and entitlement checks for retrieval corpora, per-task isolation and attributed writes for shared memory."
    ],
    "openQuestions": [
      "Verification procedure and evidence schema to be specified; requires technical review."
    ],
    "observation": null,
    "observationSchema": "https://aigovernanceengineer.com/schemas/control-observation.v1.json",
    "examples": []
  }
}