EU AI Act EUAI-Art.9: Risk management system

What else in your programme already covers this

This control maps to 28 controls across 9 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.

NIST AI Risk Management Framework (AI RMF 1.0) · 8 controls

AIRMF-GV-1.4 The risk management process and its outcomes are established through transparent policies, procedures, and other controls based on organizational risk priorities
AIRMF-MN-1.1 A determination is made as to whether the AI system achieves its intended purpose and stated objectives and whether its development or deployment should proceed
AIRMF-MN-1.2 Treatment of documented AI risks is prioritized based on impact, likelihood, or available resources or methods
AIRMF-MN-1.3 Responses to the AI risks deemed high priority as identified by the MAP function are developed, planned, and documented, and risk response options can include mitigating, transferring, avoiding, or accepting
AIRMF-MN-2.1 Resources required to manage AI risks are taken into account, along with viable non-AI alternative systems, approaches, or methods, to reduce the magnitude or likelihood of potential impacts
AIRMF-MP-1.5 Organizational risk tolerances are determined and documented
AIRMF-MP-5.1 Likelihood and magnitude of each identified impact are identified and documented, based on expected use, past uses of AI systems in similar contexts, public incident reports, feedback from those external to the team, or other data
AIRMF-MS-3.1 Approaches, personnel, and documentation are in place to regularly identify and track existing, unanticipated, and emergent AI risks based on factors such as intended and actual performance in deployed contexts

NIST SP 800-53 Rev 5 · 5 controls

NIST800-CM-4 CM-4 Impact Analyses
NIST800-PM-28 PM-28 Risk Framing
NIST800-PM-9 PM-9 Risk Management Strategy
NIST800-RA-3 RA-3 Risk Assessment
NIST800-RA-7 RA-7 Risk Response

ISO/IEC 42001:2023 · 4 controls

A.5.2 AI system impact assessment process
A.5.4 Assessing AI system impact on individuals or groups of individuals
A.5.5 Assessing societal impacts of AI systems
A.6.2.6 AI system operation and monitoring

Cloud Security Alliance Cloud Controls Matrix (CCM) v4.0.1 · 3 controls

CCM-A&A-03 Risk Based Planning Assessment
CCM-CCC-03 Change Management Technology
CCM-GRC-02 Risk Management Program

SOC 2 · 3 controls

SOC2-CC3.2 CC3.2 Identifying and analysing risks to objectives (COSO principle 7)
SOC2-CC5.1 CC5.1 Selecting control activities that mitigate risk (COSO principle 10)
SOC2-CC9.1 CC9.1 Mitigating risks of business disruption

GDPR · 2 controls

GDPR-Art.25 Data protection by design and by default
GDPR-Art.35 Data protection impact assessment

DORA · 1 control

DORA-Art.6 ICT risk management framework

ISO 27001:2022 · 1 control

5.8 Information security in project management

NIS2 Directive · 1 control

Art.21.2.a Policies on risk analysis and on information system security

Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.

You are reading one control. How much of EU AI Act have you already done?

EU AI Act EUAI-Art.9 is one control. If you already hold one of the frameworks below, a reviewed crosswalk already says how much of EU AI Act your existing evidence covers. Hold ISO/IEC 42001:2023 and 17 of 43 EU AI Act controls already carry evidence.

If you hold ISO/IEC 42001:202339.5% covered · 26 gaps If you hold NIST AI Risk Management Framework (AI RMF 1.0)25.6% covered · 32 gaps

Each report names every control your existing framework evidences, every one it does not, the reasoning behind each claim, and the claims that were argued against and rejected. 0 were rejected on the ISO/IEC 42001:2023 pair alone.

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