AI Agents Expose a New Identity Security Gap
Enterprises are rapidly deploying AI agents that can act autonomously across business systems, but most identity and access management models were built for human logins and static applications, not algorithmic actors. Industry research cited by SailPoint and the Cloud Security Alliance shows most organizations already run AI agents in production, yet many cannot reliably distinguish AI activity from human activity. These agents operate at machine speed, spin up and disappear quickly, and frequently lack clear ownership or consistent oversight. That creates a widening gap between what existing identity tools can control and how autonomous systems actually behave. As AI agents begin handling task automation, research, developer support and even elements of security operations, unmanaged access rights and opaque delegation paths become critical risks. The result is a growing consensus that AI agent identity security and non-human identity management must be brought under the same governance discipline as employees and traditional machine accounts.
Palo Alto Networks’ Idira: A Unified Control Layer for Human and Agentic Identities
Palo Alto Networks’ new Idira platform illustrates how security vendors are rethinking identity for AI-driven environments. Idira sits at the center of the company’s model for human, machine and agentic identities, providing a single control plane to see what each account—employee, service account or AI agent—is allowed to do. The platform pulls in privileged-access management from CyberArk, visibility into AI-related artifacts from Koi, and AI-agent governance via Portkey. By integrating Idira with Prisma AIRS, Palo Alto can apply identity controls directly inside AI application and agent runtime workflows, rather than isolating identity decisions in a separate system. Cortex and Strata also receive identity-verification and privilege-management capabilities for AI agents, moving access decisions closer to incident response and network enforcement. With Palo Alto reporting that over nine in ten organizations are already running autonomous agents in production, Idira aims to reduce the risk of overprivileged or orphaned agents operating unchecked across enterprise environments.
SailPoint’s Agentic Fabric Brings AI Agents Into Identity Governance
SailPoint is pushing identity governance platforms deeper into AI agent identity security with its Agentic Fabric layer. Rather than treating AI agents as an afterthought, SailPoint’s approach is to register them as first-class identities alongside employees, contractors, service accounts and machines. Agentic Fabric is designed to discover AI agents, machine identities and applications across cloud and endpoint environments, then map them to sensitive data and business resources through an identity graph. Critically, it assigns each agent to a human owner, enforcing lifecycle controls, real-time authorization and protection policies. That mapping provides accountability for autonomous decisions, tying actions back to responsible stakeholders. SailPoint is packaging these capabilities into new tiers, including options that enforce least-privilege access and zero-standing privileges, where powerful permissions are granted just-in-time and revoked once tasks complete. This positions Agentic Fabric firmly within identity governance and administration, rather than as a standalone AI security bolt-on.
From Human-Centric IAM to Non-Human Identity Management at Scale
The surge of AI agents is forcing organizations to confront the limits of traditional IAM, which assumed mostly stable human identities and predictable application patterns. Agentic AI introduces autonomy, ephemerality and complex delegation chains—agents calling other agents, spawning tasks and accessing data on behalf of users or systems. Industry guidance now calls for traceable agent identities, fine-grained, policy-driven access control and real-time monitoring across multi-agent systems. Vendors are responding with unified control layers that normalize identities from multiple sources, integrating privileged access, AI gateway controls and governance capabilities. By consolidating human, machine and autonomous agent access into a single governance fabric, enterprises gain centralized visibility, faster privilege adjustments and clearer audit trails. As AI agents become embedded in everyday workflows, organizations that modernize toward unified non-human identity management and autonomous agent access control will be better positioned to prevent unauthorized actions without slowing down innovation.