Active

AI Version Management

The organization shall manage versions of AI models and systems, ensuring changes are tracked and model versions are properly controlled. Version management shall include identification of model versions, documentation of changes, tracking of version history, and control of model deployment.

Requirement ID
AIG-003-R005
Parent Control
Domain Code

Requirement Details & Guidance

AIG-003-R005 · AIG-003
Why This Requirement Exists

This requirement exists to control AI model and system versions and maintain traceable version histories, ensuring AI systems are governed, secured, assessed, and operated in a controlled and accountable manner.

Implementation Guidance

Establish and document the process to control AI model and system versions and maintain traceable version histories. 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-R005 · 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 →
          HIPAA Health Insurance Portability and Accountability Act HIPAA is a U.S. federal law supported by implement... Clause: § 164.308(a)(1) Standard: Technology asset inventory
          US
          Law
          vCurrent View →
          COBIT2019 COBIT COBIT is an enterprise governance and management f... Clause: 4.2 – Align, Plan and Organize (APO) > APO13 – Managed Security > APO13.02 – Define and manage an information security and privacy risk treatment plan.
          COBIT
          Governance Framework
          v2019 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.
          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.