Skip to content

AI Risk Management Framework

What is AI Risk Management Framework?

A structured approach for identifying, assessing, and mitigating risks associated with AI systems throughout their lifecycle.

AI and Technology

Each of these is named in at least one of the same controls as ai risk management framework. The number is how many controls name both.

What the standards actually require on ai risk management framework

Requirements naming ai risk management framework across 5 standards, quoted from the control text.

Create and document (a) a risk management framework that addresses the specific characteristics and risks of AI systems; (b) organisation-level risk tolerance and criteria for acceptable and unacceptable risk in developing and deploying AI, including the signi...

australia-guidance-for-ai-adoption-2025::3.1.1 · 3.1.1 Create an AI risk management framework, risk criteria and assessment processes →

A developer/deployer has an affirmative defense if it discovers and cures a violation through internal testing/red-teaming and is otherwise in compliance with the latest NIST AI Risk Management Framework, ISO/IEC 42001, or another nationally/internationally re...

CO-AIA-1705 · Affirmative Defense and Recognised Frameworks →
HKMA TM-G-11 control

HKMA TM-G-1 coordination + 2024-2025 pipeline. COORDINATION WITH HKMA FRAMEWORKS: (a) HKMA SPM UMBRELLA (separately referenced) - TM-G-1 is one of 60+ SPM modules; SPM provides overall framework + supervisory expectations;

HKMA-TMG1-Coord-SPM-CRAF-Basel-FSB-2024-2025-Pipeline · TM-G-1 Coordination with HKMA SPM, C-RAF v2.0, Basel III, FSB, ISO 27001, NIST CSF and 2024-2025 Pipeline →

Sections 10-11 of DPDP Act 2023 establish enhanced obligations on entities designated as Significant Data Fiduciaries (SDFs). Section 10 Significant Data Fiduciary: Central Government may notify Data Fiduciary or class of Data Fiduciaries as SDF having regard...

DPDP-SignificantDataFiduciary-SDF-Sec10-DPO-IndependentAuditor-DPIA-Algorithmic · DPDP Act Sections 10-11 + Significant Data Fiduciary (SDF) + Data Protection Officer + Independent Data Auditor + DPIA + Algorithmic Software Audit + Privacy by Design + Records of Processing Activities →

Secure the RAN Intelligent Controller (RIC) + xApp / rApp lifecycle + AI/ML components per O-RAN WG11 Security Requirements. RIC architecture security must (a) protect Near-RT RIC (E2 control loops + xApp hosting) and Non-RT RIC (rApp hosting + policy manageme...

ORANWG11-4 · RIC, xApp/rApp Lifecycle, AI/ML Security →

Questions people ask about ai risk management framework

What is AI Risk Management Framework?
A structured approach for identifying, assessing, and mitigating risks associated with AI systems throughout their lifecycle.
Why is AI Risk Management Framework important for compliance?
AI Risk Management Framework is a key concept in AI and Technology. Understanding ai risk management framework helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 1,016 frameworks with 316K cross-framework control mappings.
Which compliance frameworks address AI Risk Management Framework?
AI Risk Management Framework appears in the requirement text of Australia Guidance for AI Adoption (2025), Colorado Artificial Intelligence Act (proposed SB 24-205), HKMA TM-G-1, India DPDP Act, O-RAN WG11 Security Specification. Across these standards we have identified 6 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about AI Risk Management Framework?
Explore our compliance framework pages to see how ai risk management framework applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 1,016 frameworks.

See how AI Risk Management Framework applies across compliance frameworks

Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.