ISO/IEC 42001:2023 A.4.6: Human resources

What else in your programme already covers this

This control maps to 31 controls across 17 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 Cybersecurity Framework 2.0 · 5 controls

NIST-CSF-GV.RR-02 Roles, responsibilities, and authorities related to cybersecurity risk management are established, communicated, understood, and enforced
NIST-CSF-GV.RR-03 Adequate resources are allocated commensurate with the cybersecurity risk strategy, roles, responsibilities, and policies
NIST-CSF-GV.RR-04 Cybersecurity is included in human resources practices
NIST-CSF-PR.AT-01 Personnel are provided with awareness and training so that they possess the knowledge and skills to perform general tasks with cybersecurity risks in mind
NIST-CSF-PR.AT-02 Individuals in specialized roles are provided with awareness and training so that they possess the knowledge and skills to perform relevant tasks with cybersecurity risks in mind

NIST SP 800-53 Rev 5 · 4 controls

NIST800-AT-3 AT-3 Role-based Training
NIST800-AT-4 AT-4 Training Records
NIST800-PM-13 PM-13 Security and Privacy Workforce
NIST800-PS-9 PS-9 Position Descriptions

ISO 27002:2022 · 3 controls

5.2 Information security roles and responsibilities
6.1 Screening
6.3 Information security awareness, education and training

NIST AI Risk Management Framework (AI RMF 1.0) · 3 controls

AIRMF-GV-2.2 The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements
AIRMF-MP-1.2 Inter-disciplinary AI actors, competencies, skills and capacities for establishing context reflect demographic diversity and broad domain and user experience expertise, and their participation is documented
AIRMF-MP-3.4 Processes for operator and practitioner proficiency with AI system performance and trustworthiness, and relevant technical standards and certifications, are defined, assessed and documented

PCI DSS 4.0 · 3 controls

12.1.1 12.1.1 Overall information security policy established and disseminated
12.6.3 12.6.3 Security awareness training on hire and annually with acknowledgment
12.8.2 12.8.2 TPSP contracts acknowledging account data responsibility

EU AI Act · 2 controls

EUAI-Art.26 Obligations of deployers of high-risk AI systems
EUAI-Art.4 AI literacy

ANSSI Guide d'hygiene informatique (42 mesures, v2.0) · 1 control

ANSSI-HYG-01 Train Operational Teams in Information System Security

ASEAN Guide on AI Governance and Ethics · 1 control

AIGE-IG-4 Training, awareness and capability building

Aged Care Quality Standards 2019 (repealed edition) · 1 control

ACQS-7 Human Resources

CMMC 2.0 · 1 control

AT.L2-3.2.2 Role-Based Training

FedRAMP High · 1 control

AT-3 Role-Based Training

ISO 27001:2022 · 1 control

6.3 Information security awareness, education and training

NIST SP 800-171 Rev 3 · 1 control

03.02.02 Role-Based Training

NIST SP 800-218 · 1 control

SP800-218-PO.2.2 Training and Skills Maintenance

SOC 2 · 1 control

SOC2-CC1.4 CC1.4 Attracting, developing and retaining competent people (COSO principle 4)

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 ISO/IEC 42001:2023 have you already done?

ISO/IEC 42001:2023 A.4.6 is one control. If you already hold one of the frameworks below, a reviewed crosswalk already says how much of ISO/IEC 42001:2023 your existing evidence covers. Hold NIST AI Risk Management Framework (AI RMF 1.0) and 30 of 38 ISO/IEC 42001:2023 controls already carry evidence.

If you hold NIST AI Risk Management Framework (AI RMF 1.0)78.9% covered · 8 gaps If you hold EU AI Act57.9% covered · 16 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 NIST AI Risk Management Framework (AI RMF 1.0) pair alone.

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