Curity Looks to Reinvent IAM with Runtime Authorization for AI Agents

Why It Matters

Enterprises face unprecedented governance gaps with autonomous AI agents; Curity’s approach offers a scalable way to enforce least‑privilege access in real time, addressing a critical blind spot in traditional IAM and PAM solutions.

Key Takeaways

• Curity adds Token Intelligence to OAuth tokens for purpose‑based access.
• Access Intelligence issues a new token for every agent action at runtime.
• Human approval can be required for high‑risk agent operations.
• Solution complements, not replaces, API gateways, WAFs, and PAM tools.

Pulse Analysis

The rapid deployment of autonomous AI agents in 2026 has outpaced the security controls that traditional identity and access management (IAM) systems provide. Enterprises now contend with a flood of both sanctioned bots and shadow agents that can invoke APIs, move data, and even trigger financial transactions without human oversight. Conventional IAM assumes a one‑time authentication for a static set of permissions, an assumption that collapses when agents execute thousands of micro‑tasks in milliseconds. This mismatch creates governance blind spots, exposing organizations to privilege‑escalation attacks, data leakage, and regulatory non‑compliance.

Curity’s newly announced Access Intelligence tackles the problem by treating each AI agent as a distinct application that must present a purpose‑bound OAuth token for every operation. Its Token Intelligence layer embeds intent metadata into the token, allowing the runtime engine to evaluate whether the requested action aligns with the agent’s declared mission. If the request exceeds predefined risk thresholds—such as initiating a fund transfer—the system can pause and demand manual approval before issuing a fresh token. By issuing tokens on‑the‑fly, the platform enforces least‑privilege access dynamically, eliminating the static permission models that have long hampered IAM for bots.

The introduction of a self‑hosted microservice that sits between agents and enterprise APIs signals a shift toward granular, intent‑driven security orchestration. While Access Intelligence can operate alongside API gateways, web‑application firewalls, and emerging PAM solutions, it does not replace them; instead it fills the critical gap of real‑time access decision‑making that existing tools lack. Analysts expect a wave of similar runtime‑authorization products as AI agents become core components of digital transformation initiatives. Organizations that adopt purpose‑based token models early will gain stronger audit trails, reduced breach surface, and a clearer path to compliance in an increasingly autonomous IT landscape.