Identity Knowledge Graph
Accurately reflect your landscape of users, applications, machines and data types. A real-world data model of both person and non-person entities and the relationships between them.
Accurately reflect your landscape of users, applications, machines and data types. A real-world data model of both person and non-person entities and the relationships between them.
Flexibility and Unbound Scale
The IndyKite Knowledge Graph efficiently reflects the highly interconnected real world
Speed and Efficiency
Evaluate highly relational queries orders of magnitude faster than relational databases
Usability
Query for highly relational nested data in one go
Trustworthy
Robust transactional guarantee, data integrity and enterprise-grade trust.
Broadening our understanding and use of access management and identity data can present an untapped opportunity for businesses, not only providing security but value.
Lasse Andresen
CEO, IndyKite
Connected data gives us the power to ask unprecedented questions. Shared data stored in a graph database enables real-time recommendations and hyper-personalization during the shopping experience, fine-grained authorization decisions for IT operations and the ability to expose hidden patterns in vast quantities of data for business optimization or research breakthroughs.
Dive deeper into how it works
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Many of today’s identity and access management systems rely on directory information services, to store identity data.
Dynamic authorization makes sense in principle, but what do we really mean when we talk about a solution requiring more flexible data models?
Is security the only benefit of identity management - or is there another opportunity waiting to be discovered?
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