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Fraud.net

Fraud.net
Launch Date: May 17, 2023
Pricing: No Info

Fraud.net's AI & Machine Learning Models offer a powerful solution for combating fraud in various industries, including financial services, e-commerce, travel & hospitality, and insurance. This innovative technology combines your data with custom machine learning models to deliver accurate results and minimize false positives, enabling informed and intelligent decisions at a faster pace.

Highlights

  • Real-time Risk Scores: Quantify the relative risk of fraudulent activity for any event, scored on a scale of 1 to 100.
  • Clear Explainability: Understand the key factors influencing your model's risk score, empowering informed decision-making and effective action.
  • Continuous Monitoring: Safeguard against model degradation and drift as customer patterns evolve and market conditions change.

Key Features

  • Comprehensive Solutions: Offers various solutions for businesses, including Application AI, Transaction AI, Identity Services, and Monitoring Services.
  • Advanced Fraud Detection: Utilizes deep learning, neural networks, and proprietary data science methodologies to identify and prevent various types of fraud, such as account takeover, application fraud, and synthetic identity fraud.
  • Robust Resources: Provides access to a wealth of resources, including downloads, case studies, fact sheets, industry reports, videos, demos, blogs, webinars, podcasts, a fraud dictionary, and API documentation.
NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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