Unify graph analysis, machine learning, and notifications in one platform.
Fraud evolves faster than defenses. Legacy systems use separate tools for graphs, ML, and alerts - leading to delays and missed threats.
Legacy databases struggle to detect collusion between accounts.
External ML models add latency to predictions.
Alerts arrive too late to block fraudulent transactions.
SurrealDB’s unified approach to fraud detection. With graph traversal, embedded ML, and real-time notifications in one platform, you can analyse, predict, and act instantly - without data movement delays.
Uncover fraud rings instantly with real-time graph traversal.
Run fraud prediction models inside the database for instant risk scoring.
Trigger instant actions - freeze accounts, block payments, or launch audits.
Get started with SurrealDB: the smarter database for real-time fraud detection.