Finance AI Trust
AI Trust for advisory algorithms, AML / KYC, and fair-lending compliance.
Built for finance AI risk
Financial-services AI lives under FCA, SEC, OCC, FINRA, SR 11-7 model risk, GDPR + DPDPA + CCPA privacy, and fair-lending laws (ECOA, Fair Housing Act, NYDFS). Infrarails scores every AI decision against the controls regulators actually ask about — and Infrarails Consulting gets you ready for the inevitable model-risk-management audit.
- Every AI interaction scored against finance-specific failure modes, not generic safety checks
- Mapped directly to the regulations your auditors cite — SR 11-7 (Federal Reserve) and FCA AI Guidance, among others
- Signed, replayable evidence built for the exact review your regulator or carrier will run
Disparate-impact in lending / pricing
ML-driven credit decisions or pricing models that produce statistically disparate outcomes for protected classes.
AML / KYC false negatives at scale
AI screening that misses sanctioned entities + structuring patterns; regulatory exposure under BSA / OFAC / FinCEN.
Advisory hallucinations + unsuitable recommendations
GenAI surfacing investment advice that fails suitability + fiduciary tests; FINRA / SEC exposure.
Insider data leakage via embeddings
Confidential research, M&A, or trading-position data leaked through model fine-tuning or RAG context.
How finance teams run Infrarails
One policy, scoped to your finance obligations — evaluated on every AI interaction, not just at audit time.
curl -X POST https://api.infrarails.ai/v1/evaluate \
-H "Authorization: Bearer YOUR_KEY" \
-d '{"policy": "finance_compliance", "prompt": "...", "response": "..."}'Evaluate
Continuous fair-lending + suitability scoring across advisory / credit / pricing models
Govern
SR 11-7 model risk management framework + FCA fairness controls + audit-ready evidence
Monitor
Drift detection on model outputs + protected-class metrics over time
Guard
PII / insider-info redaction at LLM gateway; suitability filters
Regulatory Mapping
Every AI system in your finance estate mapped against the frameworks your regulators actually cite — kept current as the rules change.
Audit-Ready Evidence
Every evaluation produces a signed, tamper-evident record — the artifact your auditors, examiners, or carrier will ask to see.
SR 11-7 (Federal Reserve)FCA AI GuidanceECOA / Reg BFINRA AI GuidanceEU AI ActAML / BSA / OFAC
What a typical finance engagement looks like
Anonymised profile drawn from sector patterns — not a specific client.
Profile
Tier-2 US bank deploying GenAI across customer service + advisory + credit decisioning
Drivers
- Annual SR 11-7 model risk validation cycle
- OCC supervisory letter requesting AI governance evidence
- Internal audit findings on fair-lending controls
Bundle
AI Governance Framework Design (8 weeks) → Regulatory Readiness Program against SR 11-7 + ECOA + FCA (5 months) → AI Red Team on the customer-service LLM endpoint (6 weeks)
Outcome
SR 11-7-aligned model-risk-management framework with Infrarails platform operationalising the ongoing-monitoring controls; ECOA adverse-action evidence pipeline; documented red-team findings closed in production.
Talk to the Finance practice
60-90 minute scoping call, routed to the finance practice lead. Free.