Use Case
AI Governance in Financial Services
A financial institution deploys AI models for credit scoring, fraud detection, and underwriting. Regulators require traceability of model decisions, bias monitoring, and documented risk controls.
Risk Drivers
- Regulatory audits
- Model explainability requirements
- Bias and fairness scrutiny
- Vendor model dependency
Solution Architecture
- Cipher for policy-enforced AI routing
- Decision trace capture with audit exports
- Automated bias and performance monitoring
- Compliance mapping aligned to NIST AI RMF
Business Outcomes
- Audit-ready AI documentation
- Reduced regulatory exposure
- Vendor-agnostic model routing
- Defensible AI decision logs
Deployment Model
Private cloud · Client-hosted