In an increasingly connected digital environment, the management of identity relationships between users, artificial intelligence systems, smart devices, and sensors has become critical. The standard provides a comprehensive framework for managing such relationships and managing application data access using identity relationships, emphasizing data interoperability, security, and regulatory compliance. By establishing clear protocols for data access, privacy, and integration with third-party utilities, the standard aims to provide accurate, secure, and transparent handling of identity relationships and the flow of data between different identity relationships. As the digital ecosystem evolves, the standard emphasizes the importance of adaptability, urging regular updates based on technological advancements and emerging challenges.

This standard defines the data access management for identity relationships. With fine-grained identities for users, AI (Artificial Intelligence), sensors and smart devices, data processing and management generate data upon relationships, which provides requirement for authorization, authentication and access control cross systems and entities. Data privacy and protection are involved in the scope of the identity relationship framework. This standard also defines a series of extendable interfaces in id-based relationship inter-operation scenario, to dock third-party utility components like compliance and regulation.

This standard addresses the need for a technical framework which focuses on data management and access control for multiple identities with certain relationships.