Use Cases : Fraud Detection

thatDot helps you reduce mean time to detect for fraud detection.

thatDot provides a comprehensive platform that integrates various data sources, including transaction logs, user behavior analytics, and external threat intelligence. By combining the various datasets and acting on the data while its still in motion, you can more thoroughly and accurately detect fraud as it happens, reducing mean time to detect to milliseconds—fast enough to prevent it.

Reduce False Positives in Real Time

thatDot excels in real-time anomaly detection, identifying suspicious activities and patterns that deviate from normal behavior with both a high level of accuracy and an explanation. This capability is crucial for fraud detection, enabling immediate response to potential fraud incidents, thereby reducing financial losses and protecting assets.

High-dimensional Data Processing

Fraud detection often involves analyzing vast amounts of data from multiple sources with high dimensionality. thatDot’s powerful stream processing engine can efficiently handle these complex data sets, uncovering hidden relationships and detecting sophisticated fraud schemes that might be missed by traditional systems.

Scalable and Robust Architecture

As the volume of transactions grows, so does the potential for fraudulent activities. thatDot’s scalable architecture ensures that fraud detection systems remain robust and effective, processing large data volumes without compromising on speed or accuracy, thus maintaining high levels of security and compliance.

Use Cases

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