Fraud Data

Client Background: A mid-sized U.S.-based digital lending platform processing over 40,000 loan applications monthly, operating across 12 states, with a growing exposure to synthetic identity fraud and first-party application fraud.

Challenge: The client’s existing fraud model relied heavily on bureau-sourced data with a 48-hour data lag. Fraudsters were exploiting this latency window, submitting synthetic identity applications that passed initial screening before being flagged — resulting in a 4.2% fraud approval rate and $2.3M in annual charge-offs.

Solution: Hir Infotech deployed a custom AI-driven fraud data pipeline aggregating signals from the FTC Consumer Sentinel Network, CFPB complaint database, dark web credential feeds, and a proprietary device-entity correlation layer. The structured fraud intelligence was delivered via REST API directly into the client’s Salesforce Financial Services Cloud CRM, updating every 6 hours with fresh, deduplicated fraud signals.

Results: Within 90 days of deployment, the client’s fraud approval rate dropped from 4.2% to 1.6% — a 61.9% reduction in fraudulent approvals. Annual fraud-related charge-offs fell by approximately $1.4M. False positive rates on legitimate applications decreased by 28%, improving the customer experience for clean applicants.

Client Testimonial: “Hir Infotech’s fraud data pipeline gave us intelligence we simply didn’t have before. The integration with our Salesforce environment was seamless, and the quality of their structured data made an immediate, measurable difference to our fraud outcomes. They understood our compliance requirements from day one.” — VP of Risk Analytics, U.S. Digital Lending Platform

Client Background: A London-headquartered insurance group with operations across the UK, Ireland, and the Netherlands, managing over £1.2 billion in annual premiums across motor, home, and commercial lines.

Challenge: Following enhanced AML requirements under the UK Economic Crime (Transparency and Enforcement) Act 2022, the client needed to significantly uplift their fraud data capability — particularly around director-level identity verification, shell company detection, and politically exposed person (PEP) cross-referencing. Their internal data team lacked the tooling and source coverage to build this independently at scale.

Solution: Hir Infotech designed a multi-source fraud intelligence aggregation workflow pulling structured data from Companies House, the FCA Financial Crime Register, UK Action Fraud reports, Europol financial crime bulletins, and proprietary business entity graph data. Datasets were enriched with entity resolution, directorship-to-fraud incident mapping, and PEP screening flags — delivered weekly as enriched, flat-file exports aligned with the client’s internal risk scoring schema.

Results: The client’s KYB (Know Your Business) fraud detection capability improved by 44% as measured by confirmed fraud ring detections in the first two quarters. Compliance audit preparation time fell by 35%, as the fraud intelligence datasets came with full provenance documentation. Three previously undetected connected fraud rings were identified within the first 60 days.

Client Testimonial: “The depth of sourcing and the quality of Hir Infotech’s entity-enriched fraud data genuinely surprised our compliance team. For a regulated insurer operating across two jurisdictions, having audit-ready, structured fraud intelligence with clear data lineage was non-negotiable — and they delivered exactly that.” — Chief Compliance Officer, UK Insurance Group

Client Background: A Berlin-based Buy Now Pay Later (BNPL) fintech expanding across Germany, Austria, Switzerland, France, and Spain, processing approximately 180,000 transactions per month with rapidly growing exposure to account takeover and payment fraud.

Challenge: Expanding across five EU markets exposed the fintech to localized fraud patterns that their existing German-centric fraud model didn’t capture. They needed geo-tagged, country-specific fraud intelligence across all five markets — structured, normalized, and GDPR-compliant — without building five separate data sourcing operations.

Solution: Hir Infotech built a unified, pan-European fraud data aggregation pipeline, sourcing from BaFin (Germany), FMA (Austria), FINMA (Switzerland), AMF (France), and CNMV (Spain) enforcement registers — plus Europol financial crime bulletins and EU consumer fraud complaint repositories. All data was normalized into a single schema, geo-tagged at country level, enriched with fraud typology classification, and delivered via API on a 12-hour update cycle.

Results: The BNPL platform’s pan-European fraud model achieved a 37% improvement in cross-border fraud detection accuracy within 4 months. Account takeover detection improved by 52% in the French market — where locally specific fraud patterns had previously been invisible to their risk model. GDPR compliance documentation was delivered alongside every dataset, eliminating legal review bottlenecks.

Client Testimonial: “Hir Infotech solved a genuinely complex multi-jurisdictional data problem with elegant simplicity. One unified API, five country markets, fully GDPR-compliant, and significantly better fraud intelligence than anything we could have built ourselves in the same timeframe. They are a world-class data partner.” — Chief Product Officer, German BNPL Fintech

Client Background: A Sydney-based mid-market e-commerce retailer generating AUD $85M in annual online revenue across electronics, fashion, and home goods, experiencing a sharp increase in card-not-present fraud and refund abuse.

Challenge: The retailer’s fraud team was overwhelmed with manual review queues, with a 6.8% chargeback rate on digital transactions — nearly triple the industry benchmark. Their payment gateway’s built-in fraud scoring was generating excessive false positives, blocking legitimate high-value customers while allowing repeat fraudsters through on subsequent purchase attempts.

Solution: Hir Infotech delivered a customized e-commerce fraud intelligence dataset aggregating signals from ACCC Scamwatch, Australian Financial Crimes Exchange (AFCX) alerts, global chargeback aggregator feeds, device fingerprint blacklists, and known-fraudulent email/IP cluster data. The structured dataset was integrated directly into the client’s Shopify Plus checkout layer and payment risk scoring API, creating a layered, real-time fraud signal enrichment system.

Results: The chargeback rate fell from 6.8% to 3.5% within 3 months — a 48.5% reduction. Annual chargeback costs fell by approximately AUD $1.1M. False positive blocks on legitimate customers decreased by 41%, recovering an estimated AUD $620,000 in previously abandoned high-value carts.

Client Testimonial: “Hir Infotech’s fraud data team understood the specific nuances of Australian consumer fraud patterns, not just the generic global signals. That local intelligence, combined with their seamless Shopify integration capability, made all the difference. Our fraud team now operates proactively rather than reactively.” — Head of Payments & Risk, Sydney E-Commerce Retailer

Client Background: A Chicago-based digital health platform serving 1.2 million patients and 8,500 provider organizations, handling sensitive Protected Health Information (PHI) and processing insurance verification and billing transactions across 34 U.S. states.

Challenge: Healthcare fraud — including provider identity fraud, duplicate billing detection, and patient identity theft — cost U.S. healthcare organizations an estimated $100B+ annually. The client’s compliance team needed structured fraud intelligence data to enhance their internal HIPAA-aligned fraud detection workflows, particularly for provider credentialing fraud and billing anomaly detection.

Solution: Hir Infotech developed a healthcare-specific fraud data aggregation pipeline sourcing from OIG Exclusion Lists, CMS Program Integrity reports, state licensing board fraud notices, and federal court records involving healthcare fraud indictments. Data was enriched with NPI number cross-referencing, taxonomy-level fraud typology tagging, and HIPAA-compliant anonymization — delivered as weekly structured exports into the client’s AWS data lake environment.

Results: Provider-level fraud detection accuracy improved by 44%. The compliance team identified 127 previously undetected potentially fraudulent provider accounts within the first two months of deployment. HIPAA audit preparation time for fraud-related controls decreased by 30%.

Client Testimonial: “Healthcare fraud data is uniquely complex — it sits at the intersection of clinical, financial, and regulatory domains. Hir Infotech’s team navigated that complexity with impressive expertise. Their HIPAA-compliant delivery workflow and the quality of OIG/CMS data enrichment exceeded our expectations significantly.” — Chief Compliance Officer, U.S. Healthtech Platform

Client Background: A Stockholm-based financial institution with retail banking operations across Sweden, Denmark, Norway, and Iceland, managing 2.1 million active customer accounts and subject to both local Finansinspektionen (FI) oversight and EU-wide AML Directive requirements.

Challenge: The institution needed a continuously updated, multi-jurisdictional fraud watchlist infrastructure covering sanctioned entities, politically exposed persons (PEPs), and known financial crime actors across all four Nordic markets — with data quality sufficient to support automated real-time transaction screening without excessive false positives.

Solution: Hir Infotech built a Nordic-focused fraud watchlist aggregation and enrichment pipeline, combining structured data from Finansinspektionen (Sweden), Finanstilsynet (Denmark & Norway), FME (Iceland), FATF grey-list alerts, EU Sanctions Database, and Interpol financial crime notices. The resulting watchlist was deduplicated, entity-resolved, and delivered via RESTful API with sub-hourly refresh cadence — directly integrated into the institution’s core banking transaction screening system.

Results: Transaction screening accuracy improved by 39% as measured by true-positive watchlist match rates. False positive rates fell by 31%, reducing analyst review burden by an estimated 2,200 hours per quarter. The institution achieved full compliance with AMLD6 watchlist screening requirements ahead of the regulatory deadline.

Client Testimonial: “The breadth of Nordic and EU regulatory source coverage that Hir Infotech provides is simply unmatched among the data providers we evaluated. Their API-first delivery and sub-hourly refresh cadence made real-time screening a reality for us. They are the right partner for any regulated institution operating in the Nordic region.” — Head of Financial Crime Compliance, Swedish Retail Bank

Client Background: A Barcelona-based online marketplace platform with 65,000 active sellers across Spain, Italy, France, and Portugal, processing over €420M in annual gross merchandise value, experiencing rising exposure to seller impersonation fraud and fake product listing schemes.

Challenge: The platform’s trust and safety team identified a 340% year-over-year increase in fake seller account creation, coordinated review fraud, and product listing impersonation — driven largely by organized fraud rings operating across multiple EU jurisdictions. Their internal detection systems relied on behavioral rules that sophisticated fraud rings had already reverse-engineered.

Solution: Hir Infotech deployed a seller fraud intelligence data feed aggregating signals from EU consumer protection registers, fake e-commerce domain blacklists, coordinated review fraud pattern databases, and dark web marketplace monitoring feeds. Seller onboarding data was enriched in real time with entity-level fraud risk scores, known-fraudulent email cluster flags, and cross-platform fraud association signals — delivered via API into the marketplace’s seller onboarding and listing approval workflows.

Results: Fake seller account approvals fell by 67% within 60 days of deployment. Coordinated review fraud incidents decreased by 54%. The trust and safety team’s investigation throughput improved by 3x as fraud risk scores replaced manual review queues for low-risk sellers.

Client Testimonial: “Hir Infotech’s fraud data intelligence gave our trust and safety team a completely new capability. We went from fighting fires reactively to proactively blocking entire fraud rings before they could list a single product. For any marketplace operating across multiple EU markets, their multi-jurisdictional fraud intelligence is invaluable.” — Director of Trust & Safety, Spanish Online Marketplace