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Sift, founded in 2011 and based in San Francisco, is a fraud prevention platform using machine learning and a data network of over one trillion annual events for real-time risk decisioning.
DataVisor
DataVisor provides an AI-powered fraud and risk platform using unsupervised machine learning to detect coordinated fraud across onboarding, transactions, and AML compliance.
DataVisor, founded in 2013, builds an AI-powered fraud and risk platform that uses unsupervised machine learning to detect sophisticated, coordinated fraud attacks. Its approach does not rely on predefined rules or historical labels, distinguishing it from traditional rules-based detection systems. The company was founded by Microsoft Research alumni and operates globally.
The DataVisor SaaS Fraud and Risk Platform combines patented unsupervised machine learning, advanced device intelligence, and a decision engine to cover the customer lifecycle from onboarding through transaction monitoring and anti-money laundering (AML) compliance. Technical work spans unsupervised machine learning, fraud detection, device intelligence, decision engines, risk management, AML, transaction monitoring, and AI-based anomaly detection.
The platform protects over two billion accounts globally and counts Fortune 500 companies among its customers. It is used across financial services, fintech, e-commerce, and digital payments. The company describes its mission as restoring online trust and combating online fraud.
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