Prioritise, respond to and monitor AI risks (Manage)

Practical action

Maintain a risk-treatment plan and an incident and monitoring log per system.

Who does it apply to?

Voluntary; any organisation adopting the framework.

Actors

Provider / developerDeployer / user organisation

Sectors

Cross-sector / all sectors

Use cases

AI in finance, credit and insuranceGenerative AI and foundation models

Which controls meet this duty?

Satisfies: the control, operated properly, does the work the duty asks for. Supports: it contributes but the duty needs more. Each control page lists every other duty it serves, so work done once can be counted once.

• satisfiesProcessAI system owner · once per ai system
  AI risk assessment and lifecycle risk register

  Serves 12 recorded duties · evidence: AI system risk assessment, Per-system AI risk register, Residual-risk acceptance

  Risk treatment planning and resource allocation for mapped and measured risks.

• supportsProcessIncident coordinator · continuous
  AI incident management and regulatory reporting

  Serves 14 recorded duties · evidence: AI incident response playbook, AI incident record, Incident report to an authority

  Incident response and communication outcomes.

• supportsProcessProcurement or vendor risk lead · once per ai system
  Vendor and third-party AI due diligence

  Serves 6 recorded duties · evidence: AI supplier due-diligence assessment, AI supplier and component register, Supplier onboarding decision

  Third-party risk management outcomes.

Templates that cover this duty

Generated from the records. Free · no account · links emailed to your work address. This duty is cited in each file with its source reference and a link back here.

• AI Risk Register (MIT AI Risk Repository taxonomy)

  Register · XLSX · v4

• AI Impact Assessment

  Assessment · DOCX and XLSX · v5

• ISO/IEC 42001 Gap Assessment and Statement of Applicability

  Assessment · XLSX · v3

• NIST AI RMF ↔ EU AI Act ↔ ISO/IEC 42001 Crosswalk

  Crosswalk · XLSX · v3

All 6 templates that cover it →

What evidence would a reviewer expect?

Framework mappings

Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.

See every United States duty mapped this way →

Frequently asked questions

Cite this record

AIPolicyTracker (2026). “Prioritise, respond to and monitor AI risks (Manage) (NIST AI RMF)” [AIPT-OBL-0115, verified 26 September 2026 by Bhaskar Bhatt]. https://aipolicytracker.org/id/AIPT-OBL-0115 (accessed 27 October 2026). Data licensed CC BY 4.0.

Permanent id AIPT-OBL-0115: it never changes or gets reused, and its address keeps working if this page moves.

Cite the official text alongside it: Artificial Intelligence Risk Management Framework (AI RMF 1.0), National Institute of Standards and Technology, https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf.

@misc{aipolicytracker2026_prioritiserespondtoandmo,
  author       = {{AIPolicyTracker}},
  title        = {{Prioritise, respond to and monitor AI risks (Manage) (NIST AI RMF)}},
  year         = {2026},
  howpublished = {\url{https://aipolicytracker.org/obligations/us-nist-ai-rmf-manage}},
  url          = {https://aipolicytracker.org/obligations/us-nist-ai-rmf-manage},
  urldate      = {2026-10-27},
  note         = {Data licensed CC BY 4.0. Accessed 27 October 2026}
}

Change history

Similar obligations in other instruments

• Deployers must implement a risk management policy and programme — Colorado AI Act, Colorado (United States)
• Apply minimum risk-management practices to high-impact AI — OMB M-25-21, United States
• Operators of high-impact AI must establish and operate a risk management plan — AI Basic Act, South Korea
• Establish a risk management system for high-risk AI — EU AI Act, European Union
• Developers must use reasonable care to avoid algorithmic discrimination — Colorado AI Act, Colorado (United States)
• Deployers must use reasonable care to avoid algorithmic discrimination — Colorado AI Act, Colorado (United States)
• Ensure AI systems are safe, secure and robust throughout their lifecycle — UK AI regulation framework, United Kingdom (voluntary)