From Human IAM to AI Identity Governance
Enterprise identity teams are being forced to rethink what an “identity” is. It no longer means only employees logging into SaaS apps. Organizations now run fleets of scripts, software bots, cloud services and autonomous AI agents that can act on their own across critical systems. Surveys cited by both Palo Alto Networks and industry groups show that most organizations already operate AI agents in production, yet many cannot reliably distinguish between human and agent activity. Traditional identity and access management tools were built for relatively static human users and applications, not for ephemeral, delegated multi-agent systems. This is pushing the market towards AI identity governance: frameworks that treat agents as first-class identities, apply agentic access control, and bring enterprise IAM agents into the same policy, lifecycle and monitoring fabric that already governs human and machine accounts. Vendors are now racing to close this widening control gap.
Palo Alto Networks Idira: A Unified Control Plane for Human and Agentic Access
Palo Alto Networks’ new Idira platform is an explicit response to this reality. The company reports that 91% of surveyed organizations already run autonomous agents in production, increasing the risk of slow privilege changes and weak revocation. Idira is positioned as a central identity-control layer for human, machine and agentic identities, bringing employee accounts, service accounts and AI agents under one policy framework. It pulls together CyberArk for privileged-access management, Koi for visibility into agents, plugins, scripts and other AI-related artifacts, and Portkey for AI agent governance and routing. These capabilities are integrated into Prisma AIRS 3.0, Cortex and Strata so identity decisions can be enforced directly inside AI security, security operations and network-security workflows. The result is agentic access control that can grant temporary elevated permissions to agents when needed and revoke them as soon as tasks are completed, reducing standing privileges across sprawling AI estates.
SailPoint’s Agentic Fabric: Mapping AI Agents to Owners, Data and Access
SailPoint is extending its identity governance and administration model to cover AI agents through a new layer called Agentic Fabric. Rather than treating agentic systems as opaque tooling, SailPoint proposes to treat them as identities subject to the same governance discipline applied to employees, contractors, service accounts and machines. Agentic Fabric is designed to discover AI agents, machine identities and applications across cloud environments and endpoints, then build an identity graph that maps agents to human owners, associated data and access rights. This allows organizations to govern agent lifecycle, enforce least-privilege policies and apply real-time authorization and protection controls to enterprise IAM agents. New commercial tiers such as Agentic Business and Agentic Business Plus focus on least-privilege and zero-standing privilege, where powerful permissions are granted just in time for specific tasks and revoked immediately after, aligning non-human access with modern identity governance best practices.
Industry Pressure: Autonomy, Ephemerality and the New IAM Agenda
Industry research underscores why AI identity governance is rising on the security agenda. A Cloud Security Alliance survey commissioned by Aembit found that a large majority of organizations expect AI agents to become vital in the near term, while many cannot clearly distinguish between human and AI agent activity in their environments. The CSA’s guidance on agentic AI identity and access highlights autonomy, ephemerality and delegation as patterns that conventional IAM protocols struggle to handle. It calls for traceable agent identities, fine-grained access control and real-time monitoring for multi-agent systems. Gartner has likewise moved IAM for AI agents into the CISO priority list, pointing to identity registration, credential automation and policy-driven authorization for machine actors as emerging requirements. Collectively, this research is pushing vendors to embed agent-aware controls directly into identity management platforms rather than treating AI security as a separate silo.
What Changes for Enterprises Adopting Agentic Access Control
The shift from traditional IAM to AI identity governance is more than a feature update; it changes how enterprises model risk and control. Idira and Agentic Fabric both assume that non-human identities—agents, bots, scripts and services—must be inventoried, owned and governed with the same rigor as people. Practically, that means building catalogs of enterprise IAM agents, mapping them to data and applications, and enforcing policies like least-privilege and zero-standing privilege at machine speed. It also means embedding agentic access control decisions into security operations, network enforcement and AI runtime protection, so that elevated rights are tightly scoped and short-lived. As organizations scale their use of autonomous agents, the winners will be those that can see every human and non-human identity, understand what it can do, and adjust permissions in real time without slowing down AI-driven innovation.