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MANAGE-2.4 Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use.

NIST AI Risk Management Framework 1.0 · 1.0

Mechanisms are in place and applied, responsibilities are assigned and understood to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use.

Quoted verbatim from NIST AI Risk Management Framework (AI RMF 1.0), which is in the public domain.

Mappings are CMDash’s own, seeded with the product and shown on both frameworks they connect. In the product they mean evidence you attach here also counts against the controls listed above.

These connectors produce data relevant to NIST AI Risk Management Framework 1.0’s MANAGE family, which is the granularity CMDash publishes — there is no pre-built per-control mapping, and claiming one would be inventing it. You decide which evidence answers which control.

Track MANAGE-2.4 with evidence behind it

In CMDash this control is a row with an owner, a status, uploaded evidence kept with its full history, and an export an assessor can read.

MANAGE-2.4 Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. — NIST AI Risk Management Framework 1.0 | CMDash