ASSYST Security Data Fabric (AssystSDF) provides the ability to gain actionable insights by identifying and connecting security data from disparate sources such as server, data stores and application logs. It incorporates knowledge graphs, active metadata management, and embedded machine learning (ML) within its architecture. AssystSDF optimizes data management by automating repetitive tasks such as profiling log data, discovering and transforming disparate log schema to Open Cybersecurity Schema Framework (ocsf) schema.
Build, operate and maintain knowledge graphs of physical and/or software-defined components, that comprise part of the organization's attack surface.
Integrated identity management ensures different users have access to the data based on their roles and permissions
Extract, ingest, stream, transform log data to OSCF schemas thus providing a seamless user experience
Build, deploy and scale your platform-independent security data lake that can be instantly deployed to the cloud or on-premise
Supports self-service consumption, letting various security users find, collaborate and access security data and pre-empt cyber threats
Enforce comprehensive cybersecurity strategy that integrates with organizational operations and prevents the interruption of activities due to cyber threats or attacks.