DataVisor

Advanced machine learning algorithms for early detection and adaptive response

Uncovers new and unknown fraud patterns without needing labeled data, making it possible to detect emerging fraud tactics quickly. This production-ready ML solution supports continuous adaptation to new fraud behaviors.

Real-time data orchestration and decisioning

Integrates and orchestrates diverse data sources in real time, enabling fraud teams to create advanced fraud signals and features. This boosts detection accuracy by enhancing fraud signals with insights from third-party data providers.

Generative AI-powered detection and automation

Uses generative AI to automate rule refinement, suggest new fraud rules, and assist with scripting, reducing false positives and enhancing productivity. It simplifies tasks for analysts and data scientists by automatically generating relevant features.

Real-time Fraud Detection

Detects fraud as it happens, with the ability to handle massive transaction volumes at high speeds. With low latency of under 100ms, this feature ensures timely responses to potential threats, enabling businesses to confidently make real-time fraud decisions.

Decision Workflow & Rules Engine

Customizable workflows allow fraud teams to apply targeted fraud strategies for specific customer segments or use cases. With a rules engine that supports purpose-built rulesets, teams can effectively address diverse types of fraud.

Advanced Case Management

Facilitates efficient fraud investigations with contextual linkage visualization, group investigations, bulk actioning, and auto decisioning. A feedback loop allows for continuous optimization, helping fraud teams stay agile and responsive.

Knowledge Graph

Enables link analysis and visualization of connections between individuals, organizations, and activities. This helps teams conduct contextual decision-making and accelerate case reviews while reducing false positives.

UML (Unsupervised Machine Learning) Studio

An open platform for building fraud models without relying on historical data or labels, offering full transparency, control, and compliance for custom fraud detection solutions.