Feedzai’s intelligent platform ingests and transforms multiple data streams and fraud insights across any channel, then enriches the data to create hypergranular risk profiles. Feedzai’s machine learning then works to process events and transactions in milliseconds and delivers explainable AI by adding a human-readable semantic layer to the underlying machine logic.
The result is better fraud prevention, streamlined operations, and improved customer experience.
With the emergence of digital channels, data is proliferating at a rate that traditional systems can’t process. Complex commerce makes for complex fraud, and this fraud is traversing every channel and payment type, seeking the weakest link, and attacking organizations with deeply unpredictable patterns.
Rules are good for what’s known. Today’s fraud is unknown. It takes a sophisticated system to turn your data into a management tool and detect new fraud, so you can see in more dimensions and make insights that scale.
With fraud patterns evolving fast and fraudsters using sophisticated tools, organizations face the likelihood of high financial loss and brand damage when hit with data breaches or massive attacks. To proactively guard the points of compromise, fraud tools need to be more nimble and self-adjust without continuous manual updates.
Feedzai’s integrated development and test environment instantaneously takes models from build to production all while optimizing for machine learning features, so models are both predictable and accurate to expected results.
Data scientists want to work with the best open source tools. Open Machine Learning (OpenML) lets them do that. Via standard APIs, data scientists can import or integrate the best open source algorithms and externally developed models into the OpenML Engine, Feedzai’s all-in-one tool for data scientists.
OpenML gives data scientists access to the best open source languages, algorithms, libraries, and platforms and
combines them with Feedzai, a platform purpose-built, from the ground up, for fighting new and evolving financial crime.