Work the ring, not one application.
Map shared devices, addresses, beneficiary accounts and face vectors across applications, then return a ring identifier analysts can act on.
A farmed application is often ordinary in isolation. The pattern becomes visible when its infrastructure is placed on a graph and compared with applications from the same hour, device or payout destination.
Declining one node while the operator keeps the rest of the ring is an incomplete control.
Ring IN-7F2
- 61 applications
shared device
- 4 identities
matched face vector
- 5 applications
same address in one hour
- 1 beneficiary
shared payout path
What the module returns
The output is structured for a decision engine and readable by the person who must review it later.
Ring identifier
Every connected application carries the same stable ring reference for case assignment and later review.
Typed relationships
Edges state exactly what is shared: a device fingerprint, tokenised address, beneficiary account, face vector or submission window.
Member severity
The graph distinguishes a central operator from a weakly linked application at the edge of the ring.
Score feedback
Confirmed ring membership contributes to each connected application's Personhood Score.
A ring forms from evidence, not proximity alone.
Common names or pin codes are weak links. Device reuse and shared beneficiary infrastructure carry more weight.
Resolve entities
Tokenised identifiers are matched to application, device, address, face and beneficiary nodes.
Weight edges
Rare, recent and operationally meaningful overlaps count more than common demographic attributes.
Detect communities
The graph model identifies connected application groups and assigns a ring reference.
Open one case
Workbench presents the related applications together so the analyst can decide on the whole pattern.
Test Cluster Intelligence on historical applications.
We reproduce the signals available at the original decision time, then compare the ranked result with later confirmed outcomes.
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