Radiant Logic unveils AI-driven platform for advanced identity security

Radiant Logic has introduced a series of enhancements to its RadiantOne Platform, targeting the security needs of organisations dealing with increasing complexity in identity management.

The update centres on AI-powered remediation, expanded standards support, and a drive towards continuous risk monitoring for both human and non-human identities.

AI collaborative remediation

The platform now integrates AI-driven collaborative workflows, allowing for real-time investigation and resolution of identity-related issues through communication tools such as Slack and Microsoft Teams. RadiantOne's AI Data Assistant (AIDA) acts as a facilitator within these familiar platforms, guiding stakeholders through remediation steps in natural language and enabling more personnel to participate in the first line of identity threat mitigation.

Radiant Logic states that this collaborative approach is designed to shift the operational burden of incident investigation away from overstretched central security teams. AIDA provides context and options to stakeholders throughout the process, which, according to the company, can reduce manual intervention by up to 80 percent. This setup complements existing operational workflows and promotes more agile responses to emerging risks in large or decentralised businesses.

Composable remediation

The latest platform release also introduces an approach to remediation that supports a variety of operational models. Teams can trigger remediation directly within RadiantOne, via identity governance and administration (IGA) tools, or through orchestration systems such as n8n and Zapier. This gives organisations flexibility to adapt responses according to their internal processes and infrastructure, whether handling risks in real time or routing them through established IT service management procedures.

AI-first architecture

RadiantOne is stepping up its focus on autonomous security operations with support for the Model Context Protocol (MCP). This allows multi-agent systems to securely access and use unified identity data and current risk observations within the platform. By exposing AIDA through the MCP, agents can answer context-dependent questions and help with decision-making using the underlying intelligence of RadiantOne. The company positions this as a step towards more autonomous, AI-led identity management, combining accuracy with ongoing governance.

Standards integration

In a further nod to industry interoperability, RadiantOne now supports the Shared Signals Framework (SSF) alongside the Continuous Access Evaluation Profile (CAEP). This means the platform can emit security signals in real time when an identity anomaly or potential policy violation is detected. These events can then trigger responses from connected systems, supporting continuous enforcement of access controls and incident response throughout a company's digital ecosystem.

"Identity security has reached an inflection point. The expanding attack surface area created by fragmented identity systems, as well as the evolution of agentic-AI, is outpacing traditional controls," said Sebastien Faivre, Chief Product Officer, Radiant Logic.

"Organisations need unified identity data, continuous visibility, and AI intelligence working together as a single fabric, to not only highlight risks, but to proactively address them. This release accelerates that vision by strengthening the data foundation that modern IAM, Zero Trust, and agentic AI ecosystems require. Our goal is to help enterprises move beyond reactive monitoring into continuous posture management that shrinks the attack surface every day."