IndyKite Identity Knowledge Graph (IKG) is a graph-based identity data platform designed to support secure application and product development. It models identity and related data as a dynamic, interconnected network rather than isolated data points, enabling organizations to derive contextual insights from relationships between entities. The platform links identity data across internal and external ecosystems to create a living knowledge graph that evolves with the business. This contextual foundation is used to support three primary use cases: 1. **Personalized customer journeys** – By embedding identity workflows with situational context, the IKG enables applications to deliver relevant, seamless experiences based on real-time identity data. 2. **Access control decisions** – The graph provides a foundation for predictive, context-aware access control, enabling smarter and more secure authorization decisions across complex ecosystems. 3. **Threat detection** – By maintaining full visibility into every entity and interaction within the ecosystem, the IKG enables behavioral analysis, pattern recognition, and real-time threat response. Core capabilities include trust scoring, data enrichment, granular access control, and full contextual visibility. The product is positioned as a data layer for developers and security teams building identity-aware applications, with a sandbox environment available for evaluation.