Active

AI Retirement

The organization shall retire AI models and systems at the end of their useful life in a controlled manner, ensuring retirement is conducted securely and residual risks are managed. Retirement shall include decommissioning of models, secure removal of data, documentation of retirement decisions, and update of asset inventories.

Requirement ID
AIG-003-R008
Parent Control
Domain Code

Requirement Details & Guidance

AIG-003-R008 · AIG-003
Why This Requirement Exists

This requirement exists to retire AI systems and models securely, manage residual risks, remove data appropriately, document decisions, and update inventories, ensuring AI systems are governed, secured, assessed, and operated in a controlled and accountable manner.

Implementation Guidance

Establish and document the process to retire AI systems and models securely, manage residual risks, remove data appropriately, document decisions, and update inventories. Define accountable roles, scope, required inputs and outputs, assessment or approval criteria, decision thresholds, review frequency, monitoring, reporting, exception handling, evidence requirements, and escalation paths. Apply the process across the AI lifecycle and integrate it with information security, privacy, risk, compliance, change management, incident management, and business governance as applicable.

Practical Application & Audit Readiness

AIG-003-R008 · Field Guidance

Business Examples

    Common Audit Findings

      Common Mistakes

        Best Practices & Ownership

        AIG-003 · Recommended Approach

        Recommended Practices

          Typical Owner

          Cross-Mapped Regulatory Frameworks

          Harmonized Control Mappings
          FRAMEWORK CODE FRAMEWORK NAME & DETAILS FAMILY / CATEGORY VERSION ACTION
          SEBI-CSCRF SEBI Cyber Security & Cyber Resilience Framework SEBI’s Cybersecurity and Cyber Resilience Framewor... Clause: 2.1 ID.AM: Asset Management
          India
          Regulation
          vLatest View →
          DORA Digital Operational Resilience Act The EU Digital Operational Resilience Act establis... Clause: Article 9(4)(f) – Documented policies for patches and updates
          EU
          Regulation
          vCurrent View →
          NIST-CSF NIST Cybersecurity Framework (CSF) The NIST Cybersecurity Framework provides high-lev... Clause: GV.RM – Risk Management Strategy | GV.RM-03 – Cybersecurity risk management activities and outcomes are included in enterprise risk management processes ID.RA – Risk Assessment | ID.RA-07 – Changes and exceptions are managed, assessed for risk impact, recorded, and tracked PR.PS – Platform Security | PR.PS-06 – Secure software development practices are integrated, and their performance is monitored throughout the software development life cycle
          NIST
          Framework
          v2 View →
          NIST80053 NIST SP 800-53 NIST SP 800-53 Rev. 5 presents control families, i... Clause: 3.13 – PROGRAM MANAGEMENT; PM-5 – SYSTEM INVENTORY
          NIST
          Control Catalog
          vRev. 5 View →
          SOC2 SOC 2 Trust Services Criteria SOC 2 is an independent examination and reporting... Clause: CC2.1 – Information and Communication – COSO Principle 13: The entity obtains or generates and uses relevant, quality information to support the functioning of internal control. CC8.1 – Change Management – The entity authorizes, designs, develops or acquires, configures, documents, tests, approves, and implements changes to infrastructure, data, software, and procedures to meet its objectives. CC6.5 – Logical and Physical Access Controls – The entity discontinues logical and physical protections over physical assets only after the ability to read or recover data and software from those assets has been diminished and is no longer required to meet the entity’s objectives.
          AICPA
          Audit Framework
          vLatest View →

          Parent Domain Context

          Governance Domain Baseline
          Domain Name:
          AI Governance & Model Security (AIG)
          Purpose:
          To ensure the trustworthy, secure, and ethical development and deployment of AI.
          Scope:
          Enterprise

          Parent Control Context

          Control Baseline
          Control Name:
          AI Asset & Lifecycle Management (AIG-003)
          Summary:
          Establishes AI lifecycle management including inventory, classification, ownership, registration, version management, deployment, change management, retirement, review, and continuous improvement.
          Business Description:
          Establish and maintain governance for AI models, agents, datasets, prompts, and related AI assets throughout their lifecycle, including inventory, ownership, versioning, deployment, monitoring, change management, and retirement.