Finance & Insurance
Suspicious claims, organised fraud, and relationships between people, accounts and entities.
The challenge
Claims and account fraud investigations turn on relationships between claimants, businesses, addresses and accounts that no single internal system holds in one place. A suspicious claim often looks unremarkable in isolation, and only becomes clearly organised fraud once its connections to other cases are drawn out.
Finance and insurance investigators need to verify claims and surface those connections quickly, in a way that scales across a caseload while remaining transparent and defensible if a claim is disputed or challenged.
Operational applications
Claim and entity verification
Publicly available information tied to a claimant, business or address is surfaced quickly, helping investigators prioritise cases that warrant closer scrutiny and accelerate resolution of straightforward ones.
Relationship mapping
Identities, communications and networks across open sources are correlated to build a clearer picture of how claimants, providers and other entities relate to one another, supporting a more complete assessment of a claim.
Organised-fraud pattern identification
Recurring patterns across multiple claims — shared providers, addresses or associates — are identified, helping investigators recognise organised schemes rather than treating each claim independently.
Defensible investigation records
Findings are documented in a transparent, sourced way, supporting compliance and defensibility if a decision to deny or escalate a claim is later challenged.
Core capabilities
Corporate and personal footprint research
Surfaces publicly available information relevant to claimants and associated entities.
Cross-claim relationship mapping
Identifies shared connections across seemingly unrelated claims or accounts.
Case prioritisation support
Helps investigators focus attention on claims showing corroborated risk indicators.
Sourced, auditable findings
Retains the evidentiary trail behind an investigation for later review.
A claim that does not stand alone
A suspicious insurance claim is checked against publicly available business and social footprints. The investigator finds that the claimant, a repair provider named on the claim, and a claimant from an earlier, unrelated-looking case all share connections — a common address, an overlapping social network. Rather than treating this as conclusive, the investigator documents the mapped relationships and attaches them to the claim file, flagging the pattern for a senior reviewer to assess against the organisation's fraud criteria before any decision on the claim is made.
Expected outcomes
- Faster verification of straightforward claims and clearer prioritisation of complex ones
- Better visibility of organised patterns spanning multiple claims
- Investigation files that are transparent and defensible under dispute
- Decisions on claims that remain with a human reviewer, informed by documented evidence
How CyberLane helps
CyberLane helps finance and insurance investigation teams design how OSINT findings feed into existing claims-handling and case-management processes, so correlated relationships inform rather than replace reviewer judgement. We support requirements gathering, proof-of-concept design against representative claim types, and business-case development for stakeholders, and oversee implementation working alongside ShadowDragon or an approved partner.
- Claims-workflow integration design
- Proof-of-concept design against representative claim types
- Business case and stakeholder briefing support
- 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 Finance & Insurance?
We start with an independent conversation about where your exposure actually sits, before any technology decision is made.