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datavisor

datavisor

Anti-fraud risk management platform that detects emerging fraud patterns in real time and reduces false positives.

Trading ToolsData MiningE-commerce ToolsAnalytics Assistant
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OverviewAlternatives

Monthly Visits

47.2K

Avg. Session Duration

0 min

Category Rank

#8345

Bounce Rate

0.4%

What is datavisor?

DataVisor is a comprehensive anti-fraud and risk management SaaS platform designed for financial institutions and large enterprises, supporting real-time detection and prevention of various types of fraud. The platform leverages patented unsupervised machine learning and generative AI technologies to identify emerging and evolving fraud patterns without relying on historical labels. Integrated with advanced device intelligence, flexible decisioning workflows, and automated investigation tools, it optimizes detection accuracy, reduces false positives, and enhances operational efficiency. With a highly scalable architecture built for high throughput and low latency, the platform empowers businesses to effectively safeguard growth and meet compliance requirements.

Key Features of datavisor?

Unsupervised Machine Learning
Identifies new and unknown fraud patterns without labeled data, enabling early detection of emerging threats.
AI Co-Pilot Automation
Leverages generative AI to intelligently recommend rule optimizations, reduce false positives, assist in feature script development, and automatically generate documentation, accelerating anti-fraud response.
Real-Time Detection and High Scalability
Supports over 15,000 queries per second with sub-100ms latency, ensuring fast fraud detection and decision-making at scale.
Flexible Decisioning Workflow and Rule Engine
Enables customization of anti-fraud strategies based on different customer segments and business scenarios, improving detection accuracy and operational efficiency.
Advanced Case Management and Link Analysis
Empowers efficient investigations with contextual visualization, group case handling, bulk operations, and deep link analysis to uncover complex fraud networks.
Comprehensive Data Orchestration
Integrates diverse data sources and third-party inputs with real-time feature engineering to enrich fraud signals and enhance detection accuracy.

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