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AI Compliance

The organization shall ensure AI systems comply with applicable legal, regulatory, and ethical requirements. AI compliance shall include identification of compliance requirements, implementation of compliance controls, and verification of compliance.

Requirement ID
AIG-001-R007
Parent Control
Domain Code

Requirement Details & Guidance

AIG-001-R007 · AIG-001
Why This Requirement Exists

This requirement exists to identify, implement, and verify compliance with applicable AI legal, regulatory, and ethical requirements, ensuring AI systems are governed, secured, assessed, and operated in a controlled and accountable manner.

Implementation Guidance

Establish and document the process to identify, implement, and verify compliance with applicable AI legal, regulatory, and ethical requirements. 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-001-R007 · Field Guidance

Business Examples

    Common Audit Findings

      Common Mistakes

        Best Practices & Ownership

        AIG-001 · Recommended Approach

        Recommended Practices

          Typical Owner

          Cross-Mapped Regulatory Frameworks

          Harmonized Control Mappings
          FRAMEWORK CODE FRAMEWORK NAME & DETAILS FAMILY / CATEGORY VERSION ACTION
          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.OC – Organizational Context | GV.OC-03 – Legal, regulatory, and contractual requirements regarding cybersecurity — including privacy and civil liberties obligations — are understood and managed
          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-1 – INFORMATION SECURITY PROGRAM PLAN
          NIST
          Control Catalog
          vRev. 5 View →
          NPCI-ISR NPCI Information Security Requirements NPCI information-security requirements define cont... Clause: Governance Controls; Governance and Oversight Structure – Establishing clear policies
          India
          Standard
          vLatest View →
          SOC2 SOC 2 Trust Services Criteria SOC 2 is an independent examination and reporting... Clause: CC1.3 – Control Environment – COSO Principle 3: Management establishes, with board oversight, structures, reporting lines, and appropriate authorities and responsibilities in the pursuit of objectives. CC5.3 – Control Activities – COSO Principle 12: The entity deploys control activities through policies that establish what is expected and in procedures that put policies into action.
          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 Governance & Oversight (AIG-001)
          Summary:
          Establishes AI governance including framework, committee, policies, roles, decision governance, executive oversight, compliance, reporting, review, and continuous improvement for AI systems.
          Business Description:
          Establish and maintain an enterprise governance framework for the responsible development, acquisition, deployment, operation, monitoring, and retirement of Artificial Intelligence systems.