Industries
AI compliance and risk management for banks
From underwriting copilots to fraud-screening agents, banks need the same model risk discipline they have for traditional models. Prism is built around it.
- SR 11-7 model risk management evidence
- CFPB ECOA / Reg B adverse-action explanations
- NY DFS Part 500 cybersecurity events for AI
- Auditor-ready exports per fiscal period
Use cases
Where banks use Prism
Credit underwriting copilots
Per-decision trajectory, fairness testing, adverse-action explanations.
Fraud and AML triage
Quality scoring on model output and conversation-level review for SAR investigators.
Customer service agents
Real-time PII guardrails; Sessions for compliance officers, not raw logs for engineers.
Internal AI tool usage
Prism X blocks employee data leakage to ChatGPT, Claude, Gemini, Copilot.
Frameworks in scope
Regulatory pressure
- Federal Reserve SR 11-7 model risk management
- OCC model risk guidance
- NY DFS 23 NYCRR Part 500
- CFPB / ECOA / Reg B for consumer credit AI
- NIST AI RMF as a federal-procurement baseline
Related
Prism
PRISMtrace is the observability and governance platform for teams running LLMs and AI agents in production. Capture traces, enforce guardrails, evaluate quality, and generate compliance evidence from one platform.
Agent Observability
Trajectory evaluation decomposes multi-step agent runs into ordered steps and scores each run on goal adherence, tool compliance, efficiency, and safety, automatically on ingest.
AI Model Audits
Model audits give you a structured review of model behavior, risk profile, and readiness for production, before deployment, not after incidents.
Prism X
Prism X enforces data loss prevention policy in the browser, before prompts and uploads reach third-party AI services. Signed policy, real-time enforcement, audit-grade events.
Model Risk Management for AI — SR 11-7 Revised Guidance
The interagency Revised Guidance on Model Risk Management supersedes SR 11-7 and SR 21-8. The three-pillar discipline carries forward, scaled to each bank's model risk profile. Prism produces the evidence at every tier.
NY DFS Part 500 AI Compliance
23 NYCRR Part 500 applies to AI used by covered financial entities. Prism produces the evidence each section asks for, and Prism X covers third-party AI tool risk.
AI Compliance for Lenders: CFPB / ECOA / Reg B — Prism
The CFPB has confirmed ECOA and Reg B apply to AI-driven credit decisions. Adverse-action notices need specific reasons. Prism Agent Trajectories and Model Audits produce them.
NIST AI Risk Management Framework: Prism Compliance Mapping
Each NIST AI RMF function has subcategories that demand evidence. Prism produces it: from MEASURE-2.7 trace logs to MANAGE-2.1 adversarial test results.
AI risk management for fintech
Sponsor banks expect SR 11-7 hygiene. CFPB and state AGs care about ECOA. Prism makes both legible without slowing your release pace.
AI compliance for asset managers
From research copilots to trading-signal models, asset managers face SEC, FINRA, and SR 11-7 expectations on AI. Prism produces the evidence per system.
Start tracing in 5 minutes
One SDK. Five minutes. Full audit trails, PII redaction, and guardrail enforcement, from day one.