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CASA
Council AI Safety Assessments — Intelligence & Analytics Layer
Inspired by enterprise intelligence platforms, CASA ingests AI telemetry from heterogeneous sources, maintains a dynamic ontology for AI governance, and provides the intelligence foundation for the entire SOAI certification pipeline.
1,247
Systems Assessed
38
Active Assessments
47,832
Ontology Entities
156
Data Sources
40+
Nations Connected
Assessment Domains
Dynamic Ontology-Based Data Model
Three-layer ontology specifically designed for AI governance, providing semantic understanding, kinetic action capability, and dynamic security enforcement.
Semantic Layer
AI System Entities
Safety Properties
Assessment Artifacts
Relationship Definitions
Kinetic Layer
Assessment Actions
Remediation Functions
Governance Operations
Workflow Triggers
Dynamic Layer
Real-time Access Controls
Purpose-based Access
Classification Controls
Context Policies
Data Integration Pipeline
1
Ingest
AI telemetry, benchmarks, incident reports
→
2
Transform
Ontology mapping, entity resolution
→
3
Analyze
Pattern detection, cross-reference
→
4
Store
Cell-level security, provenance tracking
→
5
Distribute
40-nation certified access
Recent Assessments
| ID | System | Nation | Status | Score | Date |
|---|---|---|---|---|---|
| CASA-2026-00147 | NavigationAI v3.2 | US | APPROVED | 94.2% | 2026-02-12 |
| CASA-2026-00146 | MedicalDiag v1.8 | UK | CONDITIONAL | 87.6% | 2026-02-11 |
| CASA-2026-00145 | TargetRecog v2.1 | FR | UNDER REVIEW | — | 2026-02-10 |
| CASA-2026-00144 | ChatAssist v4.0 | DE | APPROVED | 96.1% | 2026-02-09 |
| CASA-2026-00143 | AutoPilot v5.3 | JP | CONDITIONAL | 82.3% | 2026-02-08 |