AI Risk Assessment | NIST AI RMF | ISO 42001
Structured AI risk assessment aligned with NIST AI RMF, EU AI Act, and ISO 42001 — covering security, privacy, operational, and ethical risks across your AI deployments.
AI Risk Assessment — Identify and Manage AI System Risk
NIST AI RMF-aligned risk assessment covering security, privacy, operational, and ethical risks across every AI system — producing a documented risk register that satisfies regulators, auditors, and enterprise procurement.
- AI system inventory with data lineage, decision impact, and business criticality scoring
- EU AI Act risk classification — high-risk determination and conformity requirement mapping
- NIST AI RMF risk identification and analysis across GOVERN, MAP, MEASURE, MANAGE functions
- ISO 42001 control gap analysis and treatment roadmap
- Formal risk register with likelihood, impact, and residual risk quantification
- Prioritised remediation roadmap with treatment decision documentation
Dynamic Risk — Not a One-Time Assessment
Model updates, new data sources, and evolving adversarial techniques continuously change the AI risk profile. Periodic reassessment is required — not a single pre-deployment check.
Enterprise and Regulatory Requirement
Security and procurement teams are blocking AI tool approvals without completed AI risk assessments. EU AI Act mandates documented conformity assessment for high-risk AI systems.
Multi-Domain Coverage
AI risk spans security, privacy, operational reliability, bias, and compliance — domains that traditional risk frameworks do not address together. This assessment covers all dimensions.