Uncover Hidden Networks: TruvaLI Network Detection
Detect organized crime networks that traditional AML rules may miss by identifying digital footprints linked to tactics such as money mules and smurfing (structuring). Give your compliance team visibility beyond individual transactions and help them see the bigger picture.
Problem and Solution / The "Why" Section
Don’t Just Follow the Money. Follow the Network.
Traditional rule-based systems may treat small, fragmented transactions that remain below financial thresholds (Smurfing) as harmless. However, organized networks often use this method to avoid attracting attention.
Truva LI Network Detection Module analyzes users not as isolated individuals, but as part of a broader ecosystem. Our system instantly combines dozens of digital footprints such as device matches, shared IPs, behavioral patterns, and financial history to reveal hidden connections and uncover organized networks within seconds.
Core Operational Benefits / Benefits for Compliance Teams
Intuitive and Visual Analysis for Compliance Teams
No more getting lost in complex tables and thousands of rows of data. Truva LI presents risky networks and relationships between users through a color-coded, dynamic graph interface. Compliance officers can immediately identify the highest-risk (red) connections and nodes with high transaction volumes and take direct action.
Reduce False Positives
Instead of relying on weak signals such as name similarity alone, the intelligent risk aggregation algorithm combines stronger digital evidence such as shared devices and simultaneous transactions. This helps ensure that only genuinely high-risk cases requiring investigation are surfaced to your compliance team. Reduce operational workload and improve efficiency.
Automated Actions Based on Risk and Volume
Truva LI not only detects the network, but also calculates the total financial volume managed by that network. Based on the risk scores and transaction volume thresholds you define, the system can automatically;
- Apply silent monitoring (Shadow Mode) in low-risk situations,
- Route suspicious transactions to manual approval (Maker-Checker),
- Immediately block accounts and outgoing funds within seconds when a critical organized network is detected, helping protect your company.
How It Works / Mini Feature Summary
1. Digital Footprint Scanning: Users’ device, network, and profile data are continuously analyzed in the background.
2. Intelligent Connection Scoring: Detected relationships are processed through a dedicated weighting algorithm based on risk levels to generate a final "Network Risk Score."
3. Action and Reporting: Networks that exceed defined thresholds, along with their total transaction volumes, are instantly delivered to the compliance team’s dashboard as an "Alert."