Detect The BetEnterprise
Exposure Audit

Start with a read, not a contract

We run the classifier over a de-identified sample of your transactions and show you the gambling activity your current filters score as clean. No integration to start.

What you sendDraft · confirm with product

A de-identified sample with:

[NEEDS: exact fields/format confirmed with product]

  • De-identified account key
  • Transaction timestamp
  • Amount
  • Raw merchant descriptor string
  • MCC
  • Account-holder age band

What the report shows

The share of young account holders with gambling patterns invisible to MCC filtering, by rail and severity.

No figure is shown until a real audit exists — the read is qualitative until then.

[NEEDS: typical turnaround time]
Exposure audit result surface

SecurityDraft · confirm with product

  • De-identified by default
  • The sample moves over a secure agreed channel, never a web form
  • Regulated data never leaves your environment beyond the de-identified sample
  • Deletion on a defined schedule

[NEEDS: retention / deletion terms confirmed with product and counsel]

See what your filters are scoring as clean