Before action
Govern ownership, identify material risk, and protect the decision boundary.
NIST CSF 2.0
A common risk language for governed AI action.
Map the evidence and human-control boundaries around consequential enterprise AI decisions to the six functions of the NIST Cybersecurity Framework 2.0.
01
Shared risk language
Connect leadership, security, operations, and technology around one recognized structure.
02
Evidence-led controls
Tie risk decisions to purpose, policy, review, and a durable action record.
03
Precise coverage
Show where TracePoint contributes evidence without implying certification or complete framework coverage.
Global control framework
Six functions. One operating language for consequential AI.
TracePoint uses the six CSF 2.0 functions to connect cybersecurity risk with AI-action governance. The framework is broader than TracePoint. This mapping identifies where the platform contributes decision evidence and control context.
Official NIST CSF 2.0 resources ↗Govern
Set risk strategy, expectations, roles, and policy.
Control questionWho owns AI-action risk, and which policy defines an acceptable decision boundary?
TracePoint contribution
Attach declared purpose, accountable ownership, policy context, and approval authority to consequential actions.
Evidence expressionPurpose · Policy · Owner · Approval
From framework to evidence
A shared framework becomes operational when controls leave a record.
NIST CSF 2.0 is voluntary guidance. TracePoint maps selected outcomes to decision context, human-control events, and ordered evidence around consequential AI actions. Each organization remains responsible for its broader cybersecurity and risk program.
NIST and the Cybersecurity Framework are referenced for alignment context. TracePoint is not affiliated with or endorsed by NIST.
At the boundary
Detect policy or authority exceptions and respond through accountable review.
After an incident
Preserve evidence for investigation, recovery, improvement, and controlled correction.
Apply the framework