Tazama is an open-source, real-time transaction-monitoring platform that helps financial institutions and payment ecosystems detect fraud and associated money-laundering typologies, reduce false positives, and act instantly.
New in Tazama 4.0.0:
Justus Ortlepp, Tazama’s Head of Product, follows a scam payment into an alert and then a case. Soban Najam of Paysys Labs, an implementation partner, shows how analysts get the data and the testing they need to write rules that hold up.
Rules-based monitoring evaluates each transaction using current event data and historical participant behavior, then combines results into typologies with configurable thresholds.
Ingest and map any message format using Connection Studio and DEMS, then build rules using the low-code Rule Studio for rapid deployment.
AI recommends new rules, improves parameter calibration, optimizes thresholds, and prioritizes alerts to reduce manual workload.
End-to-end case management plus analytics and reporting built on JupyterLab to support investigations, operational reporting, and data science.
Tazama is a free, open-source software platform dedicated to detecting fraud before it happens. Tazama challenges the status quo by offering a global, scalable, and cost-effective choice when it comes to real-time transaction monitoring. Tazama focuses on emerging markets where fraud runs rampant due to the lack of safe and secure digital tools to execute financial transactions. It’s designed to encourage and promote financial inclusion worldwide.
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