How our fraud detection solutions work
We are instrumental in building solutions that use or combine multiple algorithms for transaction analytics. We use deep learning algorithms to analyze non-aggregated event sequences and detect suspicious activities in early stages. This approach works bets for in-app and in-game fraud. We use graph-based machine learning methods to detect fraud patterns that span multiple entities or devices. This approach is typical for credit card fraud. We use anomaly detection algorithms when labeled transaction examples are not available.
Our solutions combine models that learn on large volumes of historical data and models that analyze ongoing data in real time. This approach helps to accurately detect classic fraud techniques, but also detect new patterns and types of fraudulent activities as they appear.
Accelerate the Journey to AI
We provide flexible engagement options to design and build a fraud detection and prevention solution for your company. Contact us today to start with a workshop, discovery, or POC
We offer free half-day workshops with our top experts in supply chain analytics and optimization technologies to discuss your supply chain management strategy, challenges, optimization opportunities, and industry best practices.
If you have already identified a specific use case that needs to be solved, we usually can start with a 4-8 weeks proof-of-concept project to deliver tangible results and business value.
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