AI Agents Push Identity Management Beyond Human Users
Enterprise IAM solutions were built around people logging into applications, not software that acts on its own. That model is now under strain as organizations deploy AI agents for automation, research and security tasks, often at machine speed and with little clear ownership. Industry research cited by identity governance platforms shows most organizations are already running AI agents in production, yet many still struggle to distinguish between human and AI activity. Traditional IAM models, designed for static applications and predictable user sessions, cannot easily handle autonomous, short-lived and delegated workflows. This new pattern of non-human identities introduces blind spots in AI agent identity security and AI security governance, from uncontrolled credentials to opaque decision trails. As a result, security teams are rethinking identity governance platforms to treat AI agents as first-class identities that require registration, lifecycle management, fine-grained authorization and continuous monitoring, just like employees and service accounts.
Palo Alto Networks’ Idira Unifies AI Agent Identity Security
Palo Alto Networks’ Idira aims to centralize AI agent identity security by bringing human, machine and agentic accounts into a single control layer. The platform consolidates CyberArk, Koi and Portkey so that privileged access, AI asset visibility and autonomous agent governance flow through one policy framework. CyberArk enforces when users or agents can receive elevated permissions and when those rights must be revoked, while Koi surfaces less traditional AI components such as plugins, scripts and endpoint artifacts that sit outside older IAM tools. Portkey extends autonomous agent access control by monitoring, routing and securing AI-agent traffic across enterprise AI systems. Integrated with Prisma AIRS, Cortex and Strata, Idira pushes identity decisions closer to AI runtime, network and security operations workflows. In practice, this lets security teams manage non-human identities, grant just-in-time access and ensure audit trails for autonomous agents, aligning AI security governance with existing enterprise IAM solutions.
SailPoint’s Agentic Fabric Brings AI into Identity Governance Platforms
SailPoint’s Agentic Fabric extends its identity governance platforms beyond employees to include AI agents and other non-human identities. The layer discovers AI agents, machine identities and applications across cloud and endpoint environments, then maps those entities to data, systems and human owners through an identity graph. By treating AI agents as identities, SailPoint can apply the same governance discipline used for employees, contractors and service accounts: lifecycle management, enforcement of least-privilege policies, real-time authorization and protection controls. The platform supports threat detection and automated response, while new commercial tiers such as Agentic Business and Agentic Business Plus introduce stronger models like zero-standing privilege, where powerful permissions are granted only when needed and revoked after use. This approach embeds AI agent identity security inside established enterprise IAM solutions, helping organizations address autonomy, ephemerality and delegation patterns that traditional IAM protocols were never designed to manage.
From Shadow AI to Governed Non-Human Identities
As AI agents spread across business units, shadow AI becomes a serious risk. Security teams often lack an accurate inventory of which agents exist, what data they access and who is accountable for their actions. Platforms like Idira and Agentic Fabric address this by discovering agents, linking them to human owners and enforcing consistent controls across both human and non-human identities. This shift reframes AI agents as governed non-human identities rather than experimental tools running on the side. With centralized visibility, organizations can apply autonomous agent access control policies, monitor activity in real time and investigate incidents through complete audit trails. The convergence of AI agent identity security and AI security governance within mainstream identity governance platforms signals a maturation of enterprise IAM strategies, where human and machine actors operate under the same policy umbrella and security teams can scale AI adoption without sacrificing control.