COGNITIV / Use scenarios / Finance
Finance
Auditable risk analysis without exposing data
Portfolio, transaction and customer data cannot travel to an external engine, and the regulator requires every decision to be traced. COGNITIV runs the analysis inside your institution and logs everything.
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Cloud AI clashes with DORA and confidentiality
Portfolio, transaction and customer data cannot go out to an external provider. DORA requires you to demonstrate resilience and trace every decision, and with AI outside, much of that trail ends up in a third party's hands.
- Customer data exposed to a third party
- Decision trail in the provider's hands
- Continuity that depends on an external service
How COGNITIV solves it
Inference runs inside your institution. Every transaction, analysis and decision is kept in a complete, chained log, ready for an inspection or audit.
The modules involved
- TRACETraceability and audit: logs every analysis for DORA
- VAULTData and permissions: protects customer data
- COREInference engine: keeps working even if the external network goes down
Illustrative example with fictitious data.
Before and after
Before
- Portfolio and customer data sent to an external engine
- Partial audit trail, in the provider's hands
- Continuity that depends on a third party
With COGNITIV
- Inference inside the institution: no data exposed
- A complete, auditable log that is entirely your own
- Operational resilience under your control
Ready for inspection
In an audit, TRACE shows what was asked, which data was consulted, what the model answered and who took the decision. AI stops being a black box.
Other scenarios
Sovereign AI for your financial institution
We size your AI server and deploy it without a single piece of data leaving your organisation.