AI risk management for fintech

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.

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.

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.

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.

PCI DSS Compliance for AI Workloads

PAN, CVV, and track data must never reach an LLM unscrubbed. Prism Guardrails strip them at ingestion; Prism X stops employees from pasting them into ChatGPT.

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.