From Human Users to Agentic Identities
Enterprise identity teams are being pushed beyond traditional user directories as AI agents move into production at scale. Surveys cited by both security vendors and industry groups show that a large majority of organizations now run autonomous agents in live environments, often without clear ownership or consistent controls. These agents act at machine speed across cloud services, business apps and data stores, introducing autonomy, ephemerality and delegation patterns that conventional IAM tools were never designed to handle. The result is an emerging gap in AI agent access control: security teams can neither reliably distinguish human from agent activity nor confidently revoke privileges once a task ends. Identity governance platforms are responding by reframing agents as full identities, subject to lifecycle management, fine-grained authorization and real-time monitoring alongside employees, contractors and service accounts. This shift marks the rise of dedicated agentic identity security rather than a minor extension of existing IAM policies.
Palo Alto Networks’ Idira Unifies Human, Machine and Agent Access
Palo Alto Networks’ Idira aims to consolidate human, machine and agentic identities into a single control layer. Positioned as the identity-security plane for its broader AI stack, Idira centralizes permissions for employee accounts, service accounts and autonomous AI agents so security teams can see what each entity is allowed to do, grant temporary elevation and revoke access once tasks complete. The platform pulls together multiple technologies: CyberArk contributes privileged-access management, defining when users or agents can receive elevated rights; Koi provides visibility into AI-related assets such as agents, plugins, scripts and endpoint artifacts that often sit outside legacy controls; Portkey extends governance to autonomous software by monitoring, routing and securing AI-agent activity. Integrated with Prisma AIRS, Cortex and Strata, Idira pushes identity decisions closer to AI runtime, security operations and network enforcement. This unified model targets non-human identity management as a mainstream requirement, not a niche add-on.
SailPoint’s Agentic Fabric Maps AI Agents to Owners and Data
SailPoint is extending its identity governance cloud with Agentic Fabric, a layer built to bring AI agents and other non-human identities under formal governance. The platform focuses on discovery first: it can inventory AI agents, machine identities and applications across cloud services, application agents and endpoints, then connect them through an identity graph to critical data resources. Each agent is mapped to a human owner, giving security teams a clear line of accountability for actions taken at machine speed. From there, SailPoint applies lifecycle controls, policy-based access and real-time authorization, treating agents with the same discipline as employee identities. New commercial tiers such as Agentic Business and Agentic Business Plus emphasize least-privilege and zero-standing privilege, where powerful permissions are granted only on demand and then revoked. By embedding autonomous agent IAM into an established identity governance platform, SailPoint positions agent control as part of everyday access administration.
Why Traditional IAM Falls Short for Autonomous Agents
Industry research underscores why enterprises cannot rely on legacy IAM for agentic systems. Studies referenced by the Cloud Security Alliance highlight that most organizations expect AI agents to become critical within a year, yet many cannot clearly distinguish human activity from agent behavior in logs and alerts. Conventional IAM models were built for static applications and relatively stable human roles, not autonomous systems that spin up and down quickly, delegate tasks across multiple agents and interact with sensitive data on their own. This creates blind spots in AI agent access control, from over-privileged bots to orphaned credentials that persist beyond their useful life. Emerging guidance calls for traceable agent identities, fine-grained entitlements and continuous monitoring of multi-agent workflows. Gartner has elevated IAM for AI agents on the CISO agenda, stressing identity registration, credential automation and policy-driven authorization as core elements of future-ready agentic identity security.
Toward Explicit Governance for Non-Human Identities
The convergence of platforms like Idira and Agentic Fabric signals a broader shift: non-human identities now require explicit governance frameworks rather than ad hoc controls. Security teams are being asked to treat AI agents as first-class actors with defined owners, roles, entitlements and lifecycles. Multi-vendor integrations are central to this strategy. In Palo Alto’s stack, CyberArk, Koi and Portkey combine to govern privileged access, surface shadow agents and enforce policies across AI traffic. SailPoint, meanwhile, ties agent discovery and mapping into wider identity graphs that span users, services and data. Together, these approaches aim to reduce unauthorized agent actions, tighten revocation of temporary privileges and make autonomous agent IAM auditable. As organizations expand their use of task automation, developer assistants and AI-driven monitoring, agentic identity security is becoming a foundational control layer for protecting enterprise systems from both human and non-human misuse.