While numerous organizations have DLP programs in place, and many others seek to employ these capabilities, related practices – ranging from initial deployment to ongoing policy reviews and continuous refinement of event analysis – are demanding. Efficient DLP utilization requires the ability to understand and support detailed organizational requirements, all while simplifying incident response and making the most of available analyst resources. Without centralized analytics that effectively span the entirety of DLP – weaving together policies, investigation and remediation, along with adjacent data sources [ex. HR data] – organizations frequently find themselves challenged to employ DLP as it was it intended, to enforce Information Protection.
Bay Dynamics Risk Fabric is a data protection analytics platform that provides a centralized, contextually enriched view of DLP policies, alerts and remediation actions. Risk Fabric collects, correlates and analyzes large volumes of security event data across all DLP data sources, including data exfiltration (data telemetry), user access (identity telemetry), corporate asset data, and security system alerts (threat telemetry). Backed by patented machine learning that enables automated investigation and response, Risk Fabric ensures the ongoing success and improvement of nearly every component of DLP and data protection.