Radiant Logic Extends Identity Visibility Platform to Enterprise AI Agents with Real-Time Risk Scoring

Why It Matters

As AI agents gain deep access to corporate resources, invisible attack surfaces emerge; Radiant Logic’s platform gives security teams visibility and control, reducing the risk of privilege abuse and data breaches.

Key Takeaways

• Radiant Logic adds real‑time risk scoring for enterprise AI agents
• Platform provides unified agent inventory across cloud, on‑prem, hybrid
• Continuous risk scores adjust privileges as agent context changes
• CISOs can monitor agents without deploying separate identity stack
• One‑third of Fortune 100 already trust Radiant Logic’s federation

Pulse Analysis

Enterprises are rapidly deploying autonomous AI agents that act like digital coworkers, accessing databases, SaaS tools, and internal APIs. Traditional identity management focuses on human users, leaving a blind spot for non‑human identities that can move laterally across networks. Without a unified view, security teams struggle to detect rogue behavior, leading to potential data exfiltration or privilege escalation. Radiant Logic’s extension bridges this gap by treating AI agents as first‑class identities, applying the same federation principles that power its human‑centric platform.

The new module introduces continuous risk scoring that evaluates each agent’s authority, configuration, and activity in real time. It aggregates inventory data from every major hyperscaler and on‑prem environment, creating a single authoritative record that maps agent‑to‑agent relationships, data dependencies, and human interactions. When an agent’s software version drifts, its privileges can be automatically reduced or the instance disabled, preventing stale or compromised agents from becoming attack vectors. Visualization tools let security and IT operators see the entire agent ecosystem at a glance, simplifying compliance audits and incident response.

For CISOs, the solution eliminates the need to spin up a separate identity stack solely for AI governance, a common pain point as regulatory scrutiny intensifies. By leveraging a platform already trusted by roughly one‑third of the Fortune 100, organizations can extend existing policies to cover both human and non‑human identities, ensuring consistent risk posture across hybrid clouds. As AI agents become ubiquitous, such unified visibility will be a prerequisite for maintaining enterprise security and operational resilience.