What is model-driven virtualization?
Model-driven virtualization is the essential tool for externalizing and projecting identities into a logical identity layer, while leaving underlying sources untouched. A unified view of the data from across sources in one global model enables organizations to understand different user contexts and quickly transform to meet changing requirements.
RadiantOne creates a global model by reverse-engineering your existing data silos. That model exposes identities, resources, and their relationships. Leveraging this common data model, it’s quick and easy to create multiple views of your identity infrastructure. Relationships are the key enablers to link/join the identity of a subject to its relevant application context. These links/joins expose the attributes needed for enforcing finer-grained, context-driven access policies.
What does model-driven virtualization deliver?
A model-driven identity service understands the formats of each data source and builds an external, virtual global identification system. Once this global virtual identity is in place, you can build contextual views of a user by leveraging a common federated query system, along with metadata extracted by automated reverse engineering. By externalizing the specific data models of each data silo and associating the users and subjects them into different contextual hierarchies, RadiantOne delivers the appropriate and unique views your applications need.