What does GSDSI offer for risk and fraud teams?

Identity verification (HEM, postal, phone, MAID validation against the 200M+ identity graph), link-analysis signals (shared-IP, shared-MAID, household co-occurrence), behavioral overlays (auto, real-estate, location), and identity-distance vectors via the Euclidean Feed for clustering and anomaly detection.

Is GSDSI an FCRA consumer reporting agency?

No. GSDSI is not an FCRA CRA, and GSDSI data may not be used for any FCRA-permissible purpose (credit, employment, insurance-risk, tenancy). For those use cases, contract with an FCRA-compliant CRA. Risk and fraud signals not used for FCRA-adverse-action are permitted.

Can the identity graph be used inside a clean room?

Yes. The graph can be exposed inside AWS Clean Rooms, Snowflake Data Clean Rooms, or InfoSum so identifier-resolution happens entirely inside the clean-room environment without graph data leaving. Useful for fraud-collaboration use cases where neither party can share cleartext identifiers.

Is real-time scoring supported?

Yes, through the GSDSI REST API. Per-call latency is sub-second for identity-validation workflows. Batch scoring is also supported for backfill and periodic re-scoring. SLA terms vary by deployment scale; ask sales for the specifics for your traffic profile.

What about international fraud workflows?

International identity coverage spans 700M+ MAIDs across 150+ countries plus market-specific consumer files (Brazil, Mexico 100M+, Argentina 62M+). Coverage depth varies by country, a coverage matrix is shared during evaluation.

Fraud Detection, Identity & Risk Data Signals

Since 2018

Privacy-safe enterprise data

VOSB & SDVOSB

U.S. Veteran-Owned, Service-Disabled

SCC Transfers

EU/UK/CH per privacy policy

GDPR · CCPA · CPRA

Consent-first data sourcing

Overview

GSDSI (Global Source Data Solutions Inc.) helps commercial lenders, insurers, and fraud teams proactively identify and mitigate operational and compliance risks using location intelligence, property-level real-estate signals, and identity-verification data. Our solution delivers real-time anomaly detection and historical pattern analysis: grounded in 155M U.S. property records, device-level mobility signals, and 314M single-match email-to-postal identity records: to support commercial credit-risk modeling, commercial insurance risk modeling, identity verification, and fraud prevention.

Buying guide

Use this guide when you’re comparing vendors or documenting diligence. It’s built to be linkable (and citeable) without overlapping the product pages.

Privacy & compliance buying guide

Request API key + JSON sample

If you’re evaluating implementation, we can share sample payloads, join keys, and delivery options (S3/SFTP/Snowflake) for your use case.

Request API key + JSON sample Developer hub

Use Cases

Commercial credit-risk modeling
Commercial insurance risk modeling
Identity verification & fraud detection
Regulatory compliance monitoring

Key Benefits

Real-time anomaly detection
Multi-signal fusion analysis
Reduced false positive rates
Adaptive risk scoring models

How Risk Detection Uses Multi-Signal Intelligence

GSDSI's risk management solution fuses location intelligence, property and real-estate signals, and identity verification data to create a multi-dimensional risk profile for individuals and entities. Location data reveals whether a consumer's stated address aligns with their actual movement patterns, flagging potential address fraud or synthetic identity schemes. Real estate property data confirms ownership, mortgage status, assessed value, and transaction history across 155 million U.S. residential and commercial records, giving lenders and insurers collateral-level context without touching FCRA-regulated consumer reports. Consumer demographics, B2B firmographics, and core identity files add verification depth for commercial onboarding, synthetic-identity detection, and entity-level diligence. By combining these signals, organizations reduce false positive rates and improve the precision of automated risk-scoring systems.

Why Proactive Risk Intelligence Matters

Reactive fraud detection catches problems after losses have already occurred. GSDSI supports proactive risk intelligence by identifying behavioral anomalies and pattern deviations before they cause financial harm. Insurance companies use location-based mobility data to verify claims, confirming whether a claimant was actually at a reported accident location or whether visitation patterns suggest exaggerated injury claims. Lenders use financial event signals to monitor portfolio risk in real time, catching early warning indicators of borrower distress. Identity verification providers use our deterministic email-to-postal matching from the core email file (314M single-match, 585M multi-match) to catch synthetic identities and application fraud at the point of origination rather than downstream.

Recommended Data Products

Global Mobility/Location Data

Device-level GPS signals and aggregated mobility patterns, with a daily US and Canada feed plus country-specific coverage.

Core Email File

314M single-match (one email per person) and 585M multi-match (multiple emails per person) verified identity records for U.S. programs.

Real Estate Property Data

155M U.S. residential and commercial property records with ownership, valuation, and characteristics.

Implementation checklist

Teams that operationalize this solution move faster by defining join keys, match-rate targets, and governance up front. If you need audit-ready provenance and exclusions, start with our methodology page.

Define the endpoint: activation, measurement, research, or risk model.
Set match-rate targets for your audience and geography.
Pick delivery: SFTP/S3/Snowflake/API; Parquet/CSV/JSON.
Governance: exclusions, retention, opt-out/deletion SLAs, permitted uses.

Request a Quote Sourcing methodology Talk to solutions engineering

Risk Management & Fraud Detection