Cross-institution fraud graph corpus

Name: Cross-institution fraud graph corpus: device and session fingerprints, account-to-identity-to-device relationship edges, transaction-flow subgraphs, and — most valuably — the accumulated adjudicated verdicts. Every investigator closure on a Mule Score alert or Ring Cluster is a human-confirmed ground-truth label for mule / not-mule and for collusive-ring membership, plus matched explainability rationales (natural-language justification paired to each alert)
Creator: Rasēd (Rased)

RASĒD (RASED)Manage supplier listing

Cross-institution fraud graph corpus: device and session fingerprints, account-to-identity-to-device relationship edges, transaction-flow subgraphs, and — most valuably — the accumulated adjudicated verdicts. Every investigator closure on a Mule Score alert or Ring Cluster is a human-confirmed ground-truth label for mule / not-mule and for collusive-ring membership, plus matched explainability rationales (natural-language justification paired to each alert)

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareDiversified Banks
Instruments: equities
Categories: Alternative

Dataset card

Type: not stated
Format: Multimodal — graph edges (accounts, devices, transactions, identities), tabular session/transaction telemetry, and text (explainability rationales, evidence summaries)
Volume: Derived from the integration surface rather than printed: per deployment the graph is built over full transaction data lakes plus session and device telemetry, so the corpus is transaction-scale (millions to hundreds of millions of edges at a mid-size retail bank) with a much smaller but far more valuable layer of adjudicated alert/ring verdicts on top — request further research for the aggregated cross-customer edge and alert counts
Users: N/A — B2B enterprise fraud-prevention SaaS; end users are bank analyst seats, not registered consumers. Coverage instead measured in deployed institutions across banks, fintech/payments, insurance, telecom, e-commerce and public sector
History: 2 years
Update frequency: not stated
Growth: Active (broad multi-product suite shipped — Device Intelligence, Mule Hunting, Merchant Intelligence, Document Forensics, Internal Fraud, Transaction Monitoring, Sanctions Screening, Unified Investigation Hub — plus an active Partner Program and live partner portal)
Launched: not stated
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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