Detect, predict, and act in real-time with SurrealDB

Unify graph analysis, machine learning, and notifications in one platform.

The problem

Fraud evolves faster than defenses. Legacy systems use separate tools for graphs, ML, and alerts - leading to delays and missed threats.

Hidden fraud networks

Legacy databases struggle to detect collusion between accounts.

Slow fraud detection

External ML models add latency to predictions.

Delayed responses

Alerts arrive too late to block fraudulent transactions.

The solution

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.

Graph-powered mapping

Graph-powered mapping

Uncover fraud rings instantly with real-time graph traversal.

Embedded ML

Embedded ML

Run fraud prediction models inside the database for instant risk scoring.

Real-time alerts

Real-time alerts

Trigger instant actions - freeze accounts, block payments, or launch audits.

Fraudsters evolve.
Your platform should too.

Get started with SurrealDB: the smarter database for real-time fraud detection.

Contact the team today