Information Security

Radiant Logic Listed in 2025 Gartner Hype Cycle for Digital ID

Radiant Logic Listed in 2025 Gartner Hype Cycle for Digital ID

Recognized for AI for Access Administration, Identity Visibility and Intelligence Platforms and SCIM

Radiant Logic, the pioneer of the Identity Data Fabric and leader in Identity Security Posture Management (ISPM), today announced its recognition as a Sample Vendor in three categories in the Gartner Hype Cycle for Digital Identity, 2025 (July 2025): AI for Access Administration, Identity Visibility and Intelligence Platforms, and System for Cross-domain Identity Management (SCIM). We believe this triple recognition underscores Radiant Logic’s role as a key identity innovator that delivers comprehensive visibility and observability across complex IAM ecosystems and provides the data foundation for AI‑driven insights and actions.

Today’s hybrid, multi-cloud enterprises are struggling under the weight of identity sprawl, legacy systems and compliance demands. Identity is now both the primary control point and the fastest-growing attack surface. As the Gartner Hype Cycle report confirms, “Even with mature IGA, AM and PAM solutions, many organizations struggle to achieve full visibility (‘single pane of glass’) in a reasonable timeline and at sustainable cost.” Overcoming this IAM environment complexity requires a unified, policy-connected architecture that can deliver continuous visibility, automation and intelligence, based on unified and curated identity data.

RadiantOne is a centralized identity and data access platform that unifies, curates, and enriches identity information from across directories, databases, cloud apps and APIs. It creates a single source of truth for all identities and entitlements, whether human or non-human, delivering real-time observability, advanced correlation and semantic context across hybrid and multi-cloud environments. RadiantOne supports standards like SCIM, integrates seamlessly with IGA, PAM, AM, and SIEM tools, and enables AI-driven access governance by providing clean, normalized identity data. This foundation empowers organizations to modernize IAM, operationalize Zero Trust, streamline compliance and confidently scale intelligent automation.

In the Gartner Hype Cycle for Digital Identity, 2025, Radiant Logic was recognized in three areas:

  • Identity Visibility and Intelligence Platforms: These platforms can “… significantly accelerate visibility into and discovery of IAM data, events, configuration and posture providing faster, less expensive ‘single pane of glass’ view into all access for all actors in an organization. In turn, this enables both better IAM risk/posture assessment and recommendations, and more rapid identification of enhancements to improve business enablement and user experience.”
  • AI for Access Administration: Radiant Logic’s platform provides the unified identity foundation needed to, as Gartner notes in the report, enable AI-driven access administration, powering entitlement cleanup, access certification and policy automation.
  • System for Cross-Domain Identity Management (SCIM): The RadiantOne platform provides robust support for SCIMv2, delivering automated and secure provisioning, updating, and deprovisioning of user and group identities across hybrid and cloud environments. Gartner cites Radiant Logic as a key vendor for enabling SCIM-based identity lifecycle automation via ERP‑level provisioning support.

“Identity is no longer just about authentication or access. It’s about understanding identity as data and treating it as a pervasive attack surface. RadiantOne is the identity unification engine—making identity data an authoritative system of record, real-time, and risk-aware,” said Dr. John Pritchard, CEO, Radiant Logic. “We believe this triple recognition in Gartner’s Hype Cycle validates our leadership in delivering that unified view of all identity data, with the necessary intelligence and action built on top of that ‘system of record’ to ensure a comprehensive and proactive approach to mitigating risk.”

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