Detect communication patterns and trends to uncover the information that matters in fraud or risk events.
A scalable, elastic data lake joins almost any data source and type to enable deeper data analysis of communications on various unstructured and structured content.
A machine learning, event-based risk analysis framework models human behavior to measure for risk, and alerts when potential problems are identified.
A library of data analytics functions includes natural language processing, machine learning, network & risk analytics, and linear regression to help identify, detect, and take action on non-compliant activities.
Powerful applications developed with proven surveillance and digital forensics domain expertise proactively address specific investigative requirements.
Out-of-the-box or user-defined KRIs can reflect any aspect of communication or behavior to identify communications that are potentially problematic and flag them for review.
Open and extensible APIs support agnostic, audited access and analysis of critical business information sources enterprise-wide.