DG-AI FraudGraph
Financial Fraud Graph Detection System
A specialized fraud graph detection system engineered to identify cyclical money laundering patterns, transaction anomalies, and synthetic identities in real-time without relying on external cloud APIs.
System Specifications
Engineering boundaries and performance guarantees implemented in DG-AI FraudGraph.
Runtime Guarantees
- Database
- PostgreSQL / Redis Streams
- Latency
- < 250ms graph query execution
- Security
- Air-gapped deployment capable
Architectural Pillars
Real-time Graph Traversal
Optimized graph algorithms to detect multi-hop transaction anomalies in sub-250ms.
Zero-Telemetry Processing
Analyze sensitive financial data strictly on-premises. Zero API egress.
Anomaly Scoring
Deterministic statistical models that explain exactly why a node was flagged.
Target Workloads & Integration
Real-time transaction fraud detection
Synthetic identity mapping
Anti-Money Laundering (AML) compliance automation
Inquire about DG-AI FraudGraph
Request architectural blueprints, evaluation binaries, or deployment consultations with our systems team.