DataVisor Overview
DataVisor is a cutting-edge fraud detection and risk management platform that leverages advanced artificial intelligence, machine learning, and sophisticated feature engineering to safeguard organizations against increasingly complex fraud threats.
Key Functionality
Proactive Fraud Detection
DataVisor’s platform is designed to proactively detect unknown and emerging threats using proprietary unsupervised machine learning (UML) techniques. This approach eliminates the need for labeled data, instead utilizing advanced clustering and graph analysis to identify correlated groups of fraudulent activities and bot attacks in real time. This early detection capability captures incubation accounts before any damage occurs, reducing false positives and enhancing accuracy.
Automated Feature Engineering
The DataVisor Feature Platform automates the feature engineering process, producing thousands of auto-derived features from user-imported raw data and mapped fields. This automation significantly reduces the time and resources required for feature engineering, allowing data science and business teams to build powerful features in minutes rather than weeks or months. The platform also recommends optimized features for specific use cases, such as transaction fraud, and allows for the creation of custom features tailored to organizational needs.
Integration of Heterogeneous Data
DataVisor integrates heterogeneous data from various channels and sources, including SQL databases, Amazon S3, and local files, in real time. It dynamically derives hundreds of enriched features from both structured and unstructured data, such as IP addresses, emails, user names, timestamps, device information, and transaction data. This comprehensive data integration uncovers hard-to-surface patterns and enhances detection performance.
Advanced Fraud Analytics and Case Management
The platform offers advanced fraud analytics and case management tools. It enables the analysis of fraud techniques and the monitoring of fraud trends over time, providing valuable insights with detailed reason codes. The Knowledge Graph feature visualizes multidimensional connections among entities, groups, and money flow, facilitating the investigation of complex cases and the uncovering of sophisticated patterns efficiently. Additionally, the platform supports bulk decisions on correlated cases and boosts operational efficiency through automatic actions based on accurate results.
Rules Engine and Testing
DataVisor’s Rules Engine allows operations teams to create and deploy advanced attributes and rules quickly, without IT support. The platform supports backtesting and forward testing of rules on historical and real-time data, ensuring that rules perform optimally. This feature enables continuous tracking of rule performance and detected accounts, providing visualized insights and advanced rule analytics.
Global Intelligence Network (GIN)
The DataVisor Feature Platform integrates with the Global Intelligence Network (GIN), which is powered by signals from over 4.2 billion protected accounts and more than 800 billion events across various industries. This integration enhances machine learning with fine-grained digital intelligence, including IP address patterns, user agent strings, and more, further improving feature derivation and model performance.
Model Transparency and Governance
DataVisor Enterprise Pro provides full model transparency and explainability, along with robust model governance to meet compliance requirements. Users can develop, compare, and deploy machine learning models with ease, combining DataVisor’s domain expertise with their own customizations and refinements.
Conclusion
In summary, DataVisor offers a holistic approach to fraud detection and risk management, combining advanced AI and machine learning capabilities with automated feature engineering, comprehensive data integration, and robust case management tools. This makes it an indispensable solution for organizations seeking to protect themselves against sophisticated and evolving fraud threats.