Segura 2026: Controlling AI Agents Beyond Traditional PAM

AI agents are becoming first-class actors inside enterprise IT, yet most organizations still manage them with identity controls designed for humans and static service accounts. Segura highlights a growing risk: AI agents can silently inherit access from users, applications, service accounts and automated workflows, expanding the privileged attack surface faster than traditional PAM can track. Identity security must now evolve to include real-time discovery, clear ownership and granular controls over what agents can reach and do.

What was announced

Segura published new guidance on how security teams should extend identity security beyond classic Privileged Access Management (PAM) to cover AI agents. The core message: AI agents are non-human identities that behave dynamically, chain permissions across systems, and often operate with credentials borrowed from human users or existing service accounts.

Segura outlines a practical model built around real-time discovery of AI agents, strong ownership assignment, and enforceable controls over what an agent can access and execute. The company also reinforces its positioning as a 2025 Gartner Magic Quadrant Challenger for PAM with fast deployment and lower Total Cost of Ownership.

Why this matters

For CIOs, CISOs, IT directors and procurement leaders, the rise of AI agents changes the identity risk equation. Agents can call APIs, execute workflows, read sensitive data and trigger changes at machine speed. If they inherit broad standing access, a single compromised prompt, model or integration can cascade across critical systems.

Extending identity security to AI agents helps organizations meet audit expectations, control machine identities, and align with Zero Trust principles without slowing down AI adoption. It also addresses the operational reality that most enterprises will run dozens or hundreds of agents across SaaS, internal apps and DevOps pipelines within the next 12-24 months.

Technical details

• Real-time agent discovery: continuous identification of AI agents across users, service accounts, apps and workflows.
• Ownership and accountability: every agent is mapped to a responsible human or team.
• Least-privilege enforcement: granular controls over what data, systems and actions an agent can reach.
• Session and action monitoring: visibility into what agents actually do, not just what they are entitled to.
• Credential hygiene: automated rotation and vaulting for secrets used by AI agents and machine identities.
• Fast time to value: 7-minute deployment model and up to 70% lower TCO compared with legacy PAM.
• Full lifecycle coverage: onboarding, usage, review and offboarding of privileged and agent identities.

Identity security is no longer only about people and servers. It is about every entity, human or AI, that can reach a privileged action

Softprom and Segura

Softprom is the official distributor of Segura. Our team helps enterprises design, deploy and scale identity security programs that cover privileged users, machine identities and AI agents under a single platform.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.