Heksagon FinTech Fraud Management
Empower your client’s fraud investigation teams with comprehensive analytics, case management, and behavioral intelligence for mobile money and digital wallet operations.
Transform Fraud Detection into Strategic Intelligence
Mobile money fraud generates billions in losses annually. Yet, fraud analysts struggle with disconnected data sources, delayed detection, and manual investigation processes that allow sophisticated schemes to persist undetected.
Your fraud team needs comprehensive visibility. Not just real-time blocking, but deep analytical intelligence.
Our FinTech Fraud Management solution reveals fraud patterns across historical data, identifying organized fraud rings, and enabling proactive prevention strategies. It consolidates mobile money transactions, telco usage data, and external intelligence sources into unified fraud analytics, case management workflows, and behavioral profiling empowering your clients’ teams to investigate faster, detect earlier, and prevent smarter.
FinTech Fraud Management Solution Features
Bring complete visibility into financial fraud risks with a solution built for telecom-grade performance. Consolidate transaction data, network intelligence, and external sources into a unified environment that delivers advanced pattern detection, behavioral profiling, and automated case workflows.
Advanced Pattern Detection & Analysis
- Historical Fraud Mining: Deep analysis of transaction history to uncover complex fraud schemes invisible in real-time monitoring.
- Behavioral Profiling: Statistical models establish baseline behaviors for subscribers and merchants, flagging anomalies like account takeover or identity theft.
- Cross-Source Intelligence: Correlate mobile money transactions with voice/SMS usage, device movements, and network events for unmatched fraud visibility.
- Trend Analysis and Forecasting: Predictive analytics identify emerging fraud trends and seasonal attack patterns.
Real-Time Analytical Engine
- Stream Processing: Analysis of live xDR feeds and network events captured via SIP/INAP interfaces
- Profile-Based Detection: Real-time comparison against subscriber and merchant behavioral baselines
- Immediate Case Generation: Automatic triggering when analytical thresholds are exceeded
- Sub-15-Minute Latency: Near real-time fraud detection with configurable processing intervals (default 5-15 minutes)
Comprehensive Case Management
- Automated Case Generation: Create investigation cases automatically when fraud indicators exceed thresholds.
- 360° Subscriber View: Consolidated dashboard with transaction history, device changes, and geographic movements.
- Workflow Orchestration: Configurable workflows for routing cases, enforcing SLAs, and supporting collaborative investigations.
- Evidence Collection & Documentation: Automated audit trails for compliance and law enforcement coordination.
- Configurable SLA Enforcement: Automated workflow routing with time-based escalation.
- Multi-User Collaboration: Support for team-based investigations with role-based access.
Multi-Source Data Integration
- Mobile Money Transaction Data: Deposits, withdrawals, transfers, merchant payments, enriched with geographic and merchant info.
- Telco Usage Intelligence: Integration with MSC/IMS xDRs, billing data, and network events for fraud indicators invisible to FinTech-only platforms.
- External Data Sources: Government blacklists, bank fraud databases, sanctions lists, and identity verification services.
- Streaming and Batch Processing: Real-time alerts via Kafka/RabbitMQ plus batch analysis for historical patterns.
Fraud Scenario Library
- Pre-Built Detection Scenarios: Money laundering, account takeover, SIM swap, merchant collusion, internal fraud.
- Custom Scenario Development: Visual editor for creating organization-specific detection rules without coding.
- Scenario Performance Tracking: Analytics for true/false positive rates and resolution times.
Enterprise-Grade Fraud Management Analytics
Designed for scale and precision, our analytics engine delivers real-time dashboards, advanced reporting, and compliance-ready outputs empowering operators to meet regulatory demands and optimize fraud operations.
Advanced Analytics Capabilities
- Real-Time Dashboards: Live visualization of fraud metrics and case status.
- Ad-Hoc Reporting: Drag-and-drop report builder for custom analysis.
- Compliance Reporting: Pre-configured KYC/AML and SAR reports with automated scheduling.
- Performance & Scalability: High-throughput C-language engine, optimized parallel processing, and open-source architecture.
Key Fraud Scenarios Analyzed
- Money Laundering Operations: Detect structuring, layering, and rapid fund movement.
- Account Takeover Schemes: Identify login anomalies, device fingerprint changes, and suspicious access patterns.
- SIM Swap Fraud: Monitor post-activation behavior and device changes.
- Merchant Collusion: Detect coordinated fraud and refund abuse.
- Internal Fraud: Track manual adjustments and privilege abuse.
- Organized Fraud Rings: Map relationships and coordinated activity using network analysis.
Integration & Deployment
- OSS/BSS Connectivity: Secure API integration with billing, CRM, and mediation systems.
- Third-Party Enrichment: Identity verification, credit bureaus, and fraud intelligence networks.
- Flexible Deployment Models: Self-managed, fully managed, or hybrid.
- Implementation Timeline: Typical deployment in 8–12 weeks including integration, scenario configuration, and training.
Didn't Find What You Were Looking For?
Frequently Asked Questions
How does FinTech Fraud Management differ from FinTech Firewall?
FinTech Firewall provides real-time transaction approval/rejection during payment processing, which means immediate blocking based on predefined rules. FinTech Fraud Management delivers comprehensive analytics, investigation tools, and behavioral intelligence for fraud teams, including deep pattern analysis across historical data, case management workflows, and strategic fraud prevention. Most operators deploy both: the Firewall for real-time protection, the Fraud Management for investigation, analysis, and continuous detection improvement.
What makes Heksagon FinTech Fraud Management telco-specific?
Its unique integration with telecommunications data sources: MSC/IMS xDRs, billing systems, HLR queries, and network events. These provide context unavailable to FinTech-only platforms. Telco data enables geographic correlation, impossible travel detection, SIM swap identification, device movement tracking, and voice/SMS usage correlation with financial transactions. This carrier-layer intelligence reveals fraud indicators invisible from transaction data alone.
Can the platform detect organized fraud rings?
Yes, through network analysis algorithms identifying connected accounts, coordinated transaction patterns, and fund flow between related entities. The system maps relationships through transaction patterns, device sharing, geographic correlation, and timing analysis, revealing organized operations using mule accounts, coordinated testing, and systematic exploitation. Visualization tools enable fraud teams to understand ring structures and comprehensively disrupt operations.
Can the system detect money laundering patterns?
Yes, through sophisticated pattern detection analyzing structured deposits (multiple small ATM deposits preceding large transfers), USSD activity correlation (excessive balance inquiries preceding suspicious transactions), rapid fund movement between accounts, and conversion to untraceable payment methods. Behavioral analytics identify layering, integration, and placement phases of money laundering operations.
Does the solution support machine learning and AI?
The platform supports integration with Heksagon's AI module delivering behavioral learning, anomaly detection, and pattern recognition beyond rule-based scenarios. Our Machine Learning models train on historical fraud cases, continuously refining detection accuracy. Unsupervised learning identifies previously unknown fraud patterns while supervised learning improves classification of ambiguous cases.
What data sources can the platform analyze?
Heksagon’s FinTech Fraud Management’s comprehensive integration includes mobile money transactions (all payment types), telco usage data (MSC/IMS xDRs, billing, HLR), network events (authentication, location updates, device changes), external databases (government blacklists, bank fraud databases, sanctions lists, identity verification), and streaming/batch feeds (Kafka, RabbitMQ, ASN.1, CSV, TAP). ETL interfaces enable secure connection with banks, government agencies, and regulatory bodies.
Let's Get in Touch!
Interested in our FinTech Fraud Management solutions? Fill out the form and our solution experts will contact you in two business days!