DataVisor Howto

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DataVisor is an AI-powered fraud and risk management platform that enables real-time detection and prevention of sophisticated fraud attacks for enterprises across various industries.
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How to Use DataVisor

Request a demo: Visit DataVisor's website and request a demo to get started with their fraud detection platform.
Integrate DataVisor's solution: Work with DataVisor to integrate their fraud detection engine with your existing systems, either through real-time API or batch data transfers.
Configure data streams: Set up data streams to send relevant user and transaction data to DataVisor's platform for analysis.
Define fraud detection rules: Work with DataVisor to define custom fraud detection rules and models tailored to your specific use cases and risk factors.
Train machine learning models: Allow DataVisor's unsupervised machine learning algorithms to analyze your data and detect patterns of fraudulent behavior.
Review detection results: Use DataVisor's case management console to review fraud detection results, reason codes, and take actions on flagged accounts or transactions.
Set up automated actions: Configure automated actions based on DataVisor's detection results to block or flag suspicious activity in real-time.
Monitor and optimize: Continuously monitor detection performance and work with DataVisor to optimize rules and models over time as fraud patterns evolve.

DataVisor FAQs

DataVisor provides an AI-powered fraud and risk management platform that enables organizations to detect and respond to fraud attacks in real-time. Their solutions cover areas like account onboarding, application fraud, AML compliance, payment fraud, and more.

DataVisor Monthly Traffic Trends

DataVisor achieved 39,925 visits with a 8.2% increase in traffic. The launch of its real-time fraud detection platform and consecutive wins in the 2024 Fraud & AML Impact Awards likely contributed to this growth, highlighting the company's commitment to innovation and industry leadership.

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