DataVisor Fraud Detection and Risk Platform provides an AI-driven shield against evolving fraud threats. It combines a comprehensive fraud mitigation suite with real-time data orchestration and decisioning, adaptive machine learning, and Generative AI-powered automation to monitor transactions and events across products and channels from a single platform. The solution is designed to scale for large, multi-channel environments, enabling organizations to reduce fraud losses, minimize manual reviews, and accelerate time-to-value.

Designed for scale, the platform handles high-throughput environments—tracking over 15,000 queries per second with sub-100 ms detection latency—and supports real-time features, rules, and machine learning computations. It easily integrates with diverse data sources and third-party providers to enrich signals, supporting both real-time and batch processing. By combining unsupervised learning, AI-assisted rule refinements, and automated workflows, it reduces false positives, speeds investigations, and streamlines risk management. Modular add-ons extend capabilities with device and behavior intelligence, knowledge graph insights, and model-building tools, all while maintaining governance and compliance across fraud programs.

Features & Benefits

• Real-Time Fraud Detection: Protects as fraud occurs with scalable, real-time detection across large volumes, offering sub-100 ms latency and the ability to process 15,000+ QPS.
• Data Orchestration and Feature Engineering: Seamlessly orchestrates diverse data sources and third-party inputs to create advanced fraud features, boosting detection accuracy and speed.
• Unsupervised Machine Learning: Identifies evolving, unknown fraud patterns in real time without reliance on historical labels.
• AI Co-Pilot: Generative AI automates rule refinement, reduces false positives, assists scripting and documentation, and auto-generates new features for citizen data scientists.
• Decision Workflow & Rules Engine: Provides a flexible, deployable ruleset and workflow to tailor fraud strategies to different customer segments and use cases.
• Advanced Case Management: Supports contextual investigations, group workflows, bulk actions, auto decisioning, and feedback loops for continuous optimization.
• Device and Behavior Intelligence (Add-On): Identifies device IDs, detects emulators/botnets, and captures signals such as copy/paste and typing speed to strengthen risk assessment.
• Knowledge Graph (Add-On): Leverages deep link analysis to visualize connections between people, organizations, and activities, accelerating decision-making and reducing false positives.
• UML Modeling Studio (Add-On): Provides an open platform to build unsupervised ML models with transparency, explainability, and compliance controls.