Identity Knowledge Graph

The complexity and scale of applications and systems subject to Identity Governance & Administration (IGA) are constantly and exponentially growing. This expansion is driven by the rapid technological advancements and unprecedented use to solve novel tasks using AI. To tackle these challenges effectively, an IGA system must harness data-driven intelligence and naturally integrate with the broader enterprise technology landscape. A critical prerequisite for this is the availability of a continuously evolving, reliable, and comprehensive Identity ontology. Knowledge Graph is best suited to fulfill the need and becomes the very foundation for building intelligent domain specific solutions.

Identity Knowledge Graph is such a Knowledge Graph for Identity Data. It provides a reliable and up-to-date Identity Ontology. It brings data-intelligence to Identity Governance & Administration platform improving its efficacy, realizes the latent capabilities of Identity, and accelerates the risk reduction in near real-time.

Key Use Cases

Continuous Access Governance: enables near real-time Identity Governance by processing security events that any authorized enterprise system can initiate. This capability ensures timely and effective identity management across the enterprise.
Access Profiling: autonomously summarizes user access, allowing decision-makers to understand the risk implications easily when making policy adjustments or identity changes. This feature supports proactive risk management and informed decision-making.
Access Recommendations: recommends Access Profiles or Packages during user Access Requests based on the beneficiary’s responsibilities and assigned tasks. This tailored approach helps in aligning access privileges precisely with user roles and responsibilities.
Anomaly Detection: It autonomously detects anomalous entitlement assignments within various business contexts and initiates access re-certification after a thorough assessment. This helps in maintaining secure and compliant access environments.
Data Quality Improvement: ensures that all organization entities are accurately labeled (ex. ownership, description) and raises remediation tasks for custodians to address any discrepancies. This maintains the integrity and accuracy of the Knowledge Graph.

Anchored by a robust Knowledge Graph and enhanced with comprehensive last-mile integrations, the platform fundamentally transforms the development of data-driven, intelligent IGA (Identity Governance and Administration) solutions. Utilizing a cutting-edge, low-code approach, it not only drastically improves the efficacy of IGA systems but also reduces the overall development and operational costs by 30%. Designed for seamless integration, the platform ensures scalability and adaptability, aligning with the organization’s evolving technology landscape.