Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks.
Our unified solutions: comprehensive screening for smoother onboarding & improved compliance, continuous monitoring to proactively identify new threats, & precision fraud detection across channels and payment types. With dozens of data integrations and advanced analytics, you'll dramatically reduce false positives while gaining unmatched visibility. And, with no-code/low-code integration, our solution scales effortlessly as you grow.
The results speak volumes: Leading payments companies, financial institutions, innovative fintechs, and commerce brands trust us worldwide—and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives.
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Powerful, all-in-one identity verification, fraud prevention, and compliance platform.
iDenfy protects startups, financial institutions, gambling, streaming, ridesharing, and other digital services from identity fraud using a three-layer identity verification process. The process protects businesses from the most threatening forms of identity fraud.
iDenfy also provides services for business verification, proxy detection, fraud scoring, AML screening and monitoring, NFC verification, and other fraud prevention services.
Founded before AML, fraud, and GDPR regulations were put into place, iDenfy pioneered identity verification. The company covers users' ID verification process in full, combining AI-based biometric recognition and manual human checks to ensure they are real users.
Save up to 40% of identity verification costs using our ID verification software. Pay per successful ID verification and save up to 40% of identity verification services expenses.
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MouseCat
MouseCat is an AI platform for fighting financial crime that helps risk teams detect suspicious activity, automate investigations, and act before money leaves. It learns how a business operates from standard operating procedures, historical data, case notes, policies, and human feedback, then spots anomalies across transactions, accounts, devices, and counterparties. MouseCat investigates anomalous activity using the same data available to human agents, builds evidence trails, explains its decisions, and can route cases for human review or automatically act on high-confidence outcomes. Its fraud and scam prevention capabilities identify first-party fraud, third-party fraud, account takeovers, scams, synthetic identities, and suspicious behavior across cards, ACH, wires, Zelle, checks, and crypto. It can analyze historical fraud and chargeback data, suggest new rules and model features, identify broader fraud trends, and surface coordinated patterns across users.
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