Agent oversight
Radiant Logic has added agentic AI functions to its Identity Visibility and Intelligence Platform, aiming to give organisations a single view of AI agents across different software environments.
The update targets companies deploying AI agents across multiple platforms that want to track ownership, access and risk in one system. The platform can inventory agents, assess their security posture continuously and trigger remediation when risk changes.
The move reflects a broader problem facing security teams as AI agents are adopted at scale. These systems can act on behalf of employees, connect to business tools and data, and retain privileges even after the person who created them has changed roles or left the organisation.
Radiant Logic describes this as a "Three-Identity Problem", in which companies must govern human users, digital workloads and AI agents at the same time. The challenge is compounded by fragmented agent registries from different cloud and AI platform providers, leaving many businesses without a unified inventory of what agents exist, who owns them and what systems they can access.
Identity record
The latest release extends the company's existing identity management framework to AI agents. It groups the approach into three areas: unifying records, observing behaviour and acting on risk.
Under the visibility component, the platform is designed to create what Radiant Logic calls an authoritative record for each AI agent. That record includes configuration details, the approved large language model engine, the resources an agent can reach, and its links to both human owners and associated workloads. The platform also maps relationships between agents, tools and data sources.
Risk scoring
For posture assessment, the system checks configuration hygiene, identifies stale or orphaned agents, and analyses whether an agent's privileges match its stated purpose. It then generates a per-agent risk score that updates in real time as ownership, behaviour, configuration or privilege changes.
The third part of the update focuses on interoperability. The platform federates across leading agentic AI frameworks and works with existing identity, governance and access management programmes through the Shared Signals Framework, allowing customers to keep existing systems in place.
Dr. John Pritchard, Chief Executive Officer of Radiant Logic, linked the launch to an earlier phase of identity management in large organisations. "In the traditional identity environment, enterprises had dozens of user directories and no unified view, and we built the platform that solved it," said Dr. John Pritchard, Chief Executive Officer, Radiant Logic.
He said the same fragmentation is now emerging around AI agents. "Today, these environments have a handful of fragmented agentic registries and the same problem, " said Pritchard.
Federation model
Radiant Logic is positioning the product as an extension of its existing identity data platform rather than a separate stack for AI governance. That matters in a market where security leaders are under pressure to oversee AI use without adding more disconnected tools.
Sebastien Faivre, Chief Product Officer of Radiant Logic, said customers wanted AI agent oversight to sit within current identity architecture. "Every CISO I talk to is being asked to govern AI agents now, and none of them can afford to deploy a second identity stack to do it. We built this as a native extension of the Identity Data Platform," said Sebastien Faivre, Chief Product Officer, Radiant Logic.
He added that the same federation model already used by large customers now applies to agent management. "The same federation architecture already trusted by a third of the Fortune 100 now extends to agents across every major framework. One authoritative record across humans, non-human identities, and agents. No rip-and-replace, no new silo," said Faivre.
Radiant Logic said the platform follows an operating principle in which AI can recommend actions, humans approve them, and systems enforce them. This suggests the company is trying to address concerns over automated decisions in security workflows, particularly when agent privileges and ownership can shift rapidly.
The company, known for identity data integration and identity security posture management, said its customer base includes one-third of the Fortune 100 and 60% of US federal cabinet agencies. The latest update places it in a growing field of vendors adapting identity and access management tools for AI systems that increasingly behave like digital workers.
As businesses move from AI experimentation to wider operational use, governance of those agents is becoming a more immediate issue for identity teams. Radiant Logic argues that AI agents should be treated as part of the same identity estate as employees and machine identities, with one record of ownership, access and risk.