fraud-detector is an open-source machine learning model designed to identify fraudulent activity in structured data. It provides open weights for local inference and can be customized or retrained for specific fraud detection tasks by data scientists and analysts.
Fraud Detector is an Other AI product. It focuses on detecting fraudulent transactions or activities in structured datasets using machine learning. It is built as an open-source project for data scientists and fraud analysts. Fraud Detector is open source under the Apache-2.0 license. The product ships for the web, and it can be self-hosted.
Behind Fraud Detector is Kundena, and the product first shipped in 2020. Development happens publicly on GitHub with 18.8k stars and 492 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Fraud Detector occupies a relatively distinct niche. Key capabilities include fraud detection, open weights, and local inference.
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