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Radiant Logic Spring Release Unlocks Value of Data in Identity-First Security

Radiant Logic Spring Release Unlocks Value of Data in Identity-First Security

Expanded Capabilities Include RadiantOne AI, Enhanced Visibility with an Identity Data Lake, and a Reinvented User Experience

Radiant Logic, the leader in identity data management and analytics, announces the spring release of the RadiantOne Identity Data Platform, featuring analysis and visualization capabilities designed to make it easier to connect, manage and secure identity data. The RadiantOne Identity Data Platform unites decades of data expertise with cutting-edge analytics tools to provide a unified identity data layer for the enterprise—now even easier to use with the introduction of RadiantOne AI and its generative AI Data Assistant (AIDA). Enabled by a reinvented user experience, organizations can automate complex identity management processes and streamline business operations while minimizing the identity-related attack surface.

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“Identity and access data directly impacts IAM capability effectiveness, but most organizations struggle with data availability and quality.”

Data quality and data integration remain a critical challenge for large and complex enterprises. A recent study from ISMG found that half of organizations have suboptimal visibility into their identity data and that legacy identity systems remain the greatest challenge for integration. Gartner corroborates this finding in a recent report, noting that “Identity and access data directly impacts IAM capability effectiveness, but most organizations struggle with data availability and quality.”1 To address these two pervasive challenges to an organization’s identity security posture, the RadiantOne Identity Data Platform connects and correlates data from any source, providing insight and visibility across diverse identity stores, including legacy systems.

The spring release is built on Radiant Logic’s big data heritage and is available in a variety of deployment options, including our SOC2 certified SaaS offering or a self-managed deployment. This release introduces RadiantOne AI, an artificial intelligence engine that uses the power of large language models augmented with advanced data visualization capabilities to deliver AI-driven analytics and decision making assisted by our GenAI chatbot, AIDA. RadiantOne AI enhances the usability of the organization’s identity data, boosting access decision speed and accuracy and unlocking the power of data for identity-first security and improved governance.

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“Bad data leads to bad decisions—and good data enables good decisions. The latest release of RadiantOne brings intelligence and sensemaking to this problem area,” says Dr. John Pritchard, Chief Product Officer at Radiant Logic. “With a sharp focus on developing RadiantOne AI, which is trained in cyber and identity best practices, we can analyze an organization’s data across all identity silos to pinpoint anomalies and gaps. By achieving visibility across the entire IT landscape, organizations can enhance decision-making and automatically resolve access issues, truly bolstering the organization’s overall security posture instead of just checking a box on a regulatory audit requirement.”

The RadiantOne spring release introduces the following innovations:

  • AI-Driven Insights: RadiantOne AI, our data lake-powered artificial intelligence engine, is designed to leverage identity data to understand and mitigate risk. AIDA is the Generative AI chatbot that brings RadiantOne AI to life within the platform. AIDA’s first use case will be guiding the user access review process. With RadiantOne’s complete data and relationship model, AIDA can see into every layer of the access chain to find and alert reviewers to any misallocated rights, which can then be automatically remediated under reviewer control.
  • A Modern User Experience: A simplified UX allows users to take a drag-and-drop approach to identity data pipelines, getting teams to work faster by reducing the training required for implementation and using the platform. The API-first, low code/no code interface simplifies configuration tasks and gets customers up and running quickly, so there’s an even shorter time-to-value for RadiantOne.
  • Enhanced Visibility: Radiant Logic’s new identity data lake is a centralized repository that ingests and stores large volumes of structured and unstructured identity data. The data is then processed and used to provide data consistency across RadiantOne through a Master User Record, which can then power the modern directory, analytics, machine learning, and other forms of intelligent action. This supports RadiantOne in illuminating the access chain for improved audit, compliance and data quality initiatives.
  • Identity Analytics on SaaS: The entire RadiantOne Identity Data Platform, including Identity Analytics, is now fully cloud-native, so it can be deployed as SaaS, in a private cloud, or on-premises, with feature parity across all deployment models.

[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

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