Fraud & Risk
Validate identities, connect aliases and expose synthetic and coordinated fraud.
The challenge
Fraud rings are designed to look like a series of unrelated individuals when viewed only through internal data. The relationships that expose them — shared contact details, reused device or payment identifiers, overlapping public footprints — usually sit outside the organisation, in openly available information.
Fraud and risk teams need to validate identities and uncover those hidden relationships quickly enough to act, while keeping the underlying evidence in a form that supports a confident, defensible decision rather than a suspicion.
Operational applications
Identity validation
Publicly available footprints are checked against claimed identity details, helping teams assess whether an applicant or account holder's digital presence is consistent with the identity presented, rather than relying on documents alone.
Alias and identifier correlation
Reused contact details, handles and other identifiers are correlated across platforms to reveal when seemingly unrelated applications or accounts trace back to the same operator or network.
Synthetic and coordinated fraud detection
Patterns consistent with synthetic identities or coordinated fraud rings — shared infrastructure, timing patterns, overlapping associates — are surfaced for review, giving investigators a starting point rather than an automatic block.
Evidence capture for case files
Supporting evidence is gathered and documented as an investigation proceeds, so a fraud determination can be explained and reviewed later, including in dispute or regulatory contexts.
Core capabilities
Public footprint checks
Compares claimed identity information against publicly available presence and activity.
Cross-platform identifier correlation
Links reused contact details and handles across accounts and platforms.
Network pattern surfacing
Highlights clusters of applications or accounts sharing suspicious characteristics for analyst review.
Documented case evidence
Retains sourced findings suitable for case files and later dispute handling.
Unrelated applicants, one operator
Several loan applications pass individual identity checks but share a reused phone number and overlapping social footprints. An analyst correlates these selectors and finds that the applicants' public profiles reference the same physical address and a common associate, a pattern consistent with a coordinated fraud ring rather than coincidence. The correlated evidence, including the sources it draws on, is attached to the case file for a fraud reviewer to make the final determination, rather than triggering an automatic rejection based on the correlation alone.
Expected outcomes
- Faster identification of relationships between seemingly unconnected applications
- Fraud decisions supported by documented, reviewable evidence
- Reduced reliance on internal data alone when assessing identity risk
- Case files that hold up under dispute or regulatory review
How CyberLane helps
CyberLane supports fraud and risk teams in defining where OSINT-based identity checks fit within an existing fraud workflow, including how correlated findings should be weighted alongside internal scoring rather than treated as a standalone decision. We help plan a proof of concept against representative fraud typologies, review the resulting workflow for consistency with dispute-handling obligations, and oversee implementation alongside ShadowDragon or a delivery partner.
- Fraud-workflow integration design
- Proof-of-concept planning against known fraud typologies
- Dispute-handling and evidentiary review
- Implementation oversight
CyberLane is independent and works on the decision rather than the deployment. Product-specific delivery is coordinated with the vendor or a qualified implementation partner.
Official vendor sources
Capability descriptions are based on the vendor's published materials; CyberLane's wording is independently written.
Evaluating ShadowDragon for Fraud & Risk?
We start with an independent conversation about where your exposure actually sits, before any technology decision is made.