DataVisor
AI-powered fraud and risk management platform delivering real-time detection and prevention with advanced unsupervised machine learning and automation.
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Product Overview
What is DataVisor?
DataVisor is a comprehensive fraud and risk management SaaS platform designed for financial institutions and large enterprises to detect and prevent a wide range of fraud types in real time. Leveraging patented unsupervised machine learning and generative AI technologies, DataVisor identifies emerging and evolving fraud patterns without relying on historical labels. The platform integrates advanced device intelligence, flexible decision workflows, and automated investigation tools to optimize detection accuracy, reduce false positives, and streamline operational efficiency. With scalable infrastructure supporting high throughput and low latency, DataVisor enables organizations to safeguard their business growth and comply with regulatory requirements effectively.
Key Features
Unsupervised Machine Learning
Detects new and unknown fraud patterns proactively without requiring labeled data, enabling early identification of emerging threats.
AI Co-Pilot Automation
Utilizes generative AI to suggest rule improvements, reduce false positives, assist in feature scripting, and auto-generate documentation for faster fraud response.
Real-Time Detection and Scalability
Supports over 15,000 queries per second with under 100ms latency, ensuring rapid fraud detection and decision-making for large-scale operations.
Flexible Decision Workflow and Rules Engine
Allows customization of fraud strategies tailored to specific customer segments and use cases, enhancing detection precision and operational efficiency.
Advanced Case Management and Link Analysis
Facilitates efficient investigations with contextual visualization, group case handling, bulk actions, and deep link analysis to uncover complex fraud networks.
Comprehensive Data Orchestration
Integrates diverse data sources and third-party inputs to enrich fraud signals and improve detection accuracy through real-time feature engineering.
Use Cases
- Financial Services Fraud Prevention : Protects banks, credit unions, and payment networks from account takeover, payment fraud, and money laundering with real-time detection.
- Ecommerce and Digital Payments Security : Detects new account fraud, loyalty abuse, and content abuse to reduce losses and improve customer trust.
- Risk Management for Crypto Exchanges : Monitors and prevents sophisticated fraud and financial crimes in cryptocurrency trading platforms.
- Fraud Investigation and Case Management : Enables fraud teams to efficiently investigate, visualize connections, and take bulk actions to mitigate risks faster.
- Compliance and Regulatory Reporting : Supports transparent, explainable AI models and one-click reporting to meet regulatory and governance requirements.
FAQs
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Analytics of DataVisor Website
๐บ๐ธ US: 24.39%
๐ณ๐ฌ NG: 13.66%
๐ฎ๐ณ IN: 11.95%
๐จ๐ฆ CA: 7.74%
๐ป๐ณ VN: 5.35%
Others: 36.9%
