Banking & Financial Services
Ship AI under model risk, fair-lending, and resilience rules - with the evidence to prove it.
Banks were governing models long before generative AI, and examiners already know what good looks like. DataStrict extends that discipline to every prompt, retrieval, and agent action - so an LLM assistant or an underwriting copilot inherits the same controls and the same auditability as the rest of the bank.
The pressure
The risk isn't the model. It's what reaches it.
Generative AI raises the stakes on data that was already regulated. These are the pressures DataStrict was built to hold for you.
- 01
Customer PII and material non-public information leaking into prompts, vendor models, and chat histories.
- 02
Credit, underwriting, and pricing decisions that need to be explainable and free of prohibited factors.
- 03
Model risk governance that examiners expect to see applied to AI, not just legacy scorecards.
- 04
Operational resilience and third-party risk obligations that now extend to AI providers.
What we enforce
Controls that run, evidence that holds.
PII and MNPI never reach the model
The Fabric detects and redacts customer data and material non-public information at the boundary, before any prompt leaves the bank.
Explainable, examiner-ready decisions
Every policy is versioned code and every decision is written to the Ledger - a hash-chained record you can hand to a validator or an examiner.
Deny-by-default tool access
Agents get least privilege: payments, exports, and core-banking tools are denied unless a policy explicitly allows them for that purpose.
Obligations
Mapped to the rules you answer to.
SR 11-7
↗The Federal Reserve's model risk management guidance - validation, monitoring, and governance applied to AI models.
Fair lending (ECOA / Reg B)
↗Credit decisions must avoid prohibited bases and be explainable, including where AI assists the decision.
DORA
↗EU digital operational resilience rules covering ICT and third-party risk, including AI service providers.
EU AI Act
↗Credit scoring and creditworthiness are high-risk use cases with oversight and record-keeping duties.
External links are provided for reference and are not affiliated with DataStrict. See how obligations become enforced controls on the compliance page, and where the software runs on deployment.
Govern AI like infrastructure.
Talk to our team about deploying DataStrict across your enterprise stack.