Purpose
Assurance patterns for AI used in high-impact operational environments where resilience and human oversight matter.
FRAMEWORK
Critical Infrastructure AI Assurance
Assurance patterns for AI used in high-impact operational environments where resilience and human oversight matter.
framework routeevidence-oriented modelhuman review required
Evidence artifacts
Use the model to collect decision records, assumptions, risk boundaries, review checkpoints and operational evidence before relying on the output.
Use limits
This framework supports structured review. It does not replace accountable expert review, certification, regulatory approval or operational sign-off.
RELATED TOOLS
Instruments that operationalize this model.
Open a tool to turn the framework into an evidence checklist, readiness score or decision artifact.
Enterprise Architecture and Digital Trust
Operational Resilience Scenario Planner
Creates a scenario plan for a critical service, disruption, dependencies, recovery objectives and test history.
open instrument → AI AssuranceAssurance Radar
Measures eight AI assurance dimensions and produces a maturity radar with evidence gaps and next artifacts.
open instrument → AI AssuranceAI Control Readiness Review
Checks whether an AI initiative has enough controls, evidence and ownership to proceed toward production.
open instrument → Enterprise Architecture and Digital TrustAI Evidence Registry and Source-Freshness Monitor
Tracks dated sources, evidence objects, owners, review cadence and staleness for AI governance outputs.
open instrument → AI AssuranceAI Governance Evidence Mapper
Maps an AI use case to the governance evidence required before approval, release or expansion.
open instrument → AI AssuranceAI System Self-Classifier
Walks through intended use, autonomy, affected persons and context to produce a preliminary AI system classification packet.
open instrument →