Cyber + AI
Financial crime and fraud controls in motion
Apply enterprise logic and intelligence before a transaction reaches the application that will execute it.
Why this challenge is hard
Fraud and financial-crime patterns change across channels faster than core applications can be released. Logic distributed across channels creates gaps, inconsistent treatment and evidence that is difficult to reconstruct.
An effective decision may need explicit policy, contextual signals and probabilistic judgement before a transaction completes. That is difficult when the required data and the point of action sit in different systems.
What Data Mediation changes
A shared in-path control point can enrich, score, challenge, adjust or stop interactions before completion while preserving channel and core-system independence.
Approach
How Data Mediation is applied
- 01
Observe the transaction context across available sources.
- 02
Apply deterministic logic and probabilistic models together.
- 03
Take the approved action before the transaction completes.
- 04
Retain the inputs, decision and outcome for review.
What can be demonstrated
- A shared control applied across one or more channels
- Rapid logic change without modifying the transaction application
- Consistent decisions with explicit reasons
- A foundation for iterative analyst-led improvement
The exact scope, controls and evidence depend on the customer environment and are agreed before implementation.
Start with a defined outcome and prove it in controlled scope.
Discuss this work