AI Agents Force a Rethink of Identity and Access Management
Enterprise security teams are rapidly discovering that traditional identity and access management frameworks were not built for autonomous AI agents. These systems act at machine speed, span multiple applications and datasets, and often operate without clear owners or consistent controls. Research cited by industry vendors shows most organizations already run AI agents in production for tasks ranging from developer assistance to security monitoring, yet many cannot reliably distinguish between human and AI activity. That creates blind spots in audit trails, privilege management and incident response. As a result, AI agents are being elevated from “technical feature” to first-class identities that require lifecycle governance similar to employees, contractors and service accounts. Security teams now need AI agent identity governance that can register each agent, map it to a responsible human owner, and enforce fine-grained, policy-driven authorization and real-time monitoring across complex, multi-agent environments.
Palo Alto Networks Idira: A Unified Control Layer for Human and Agentic Access
Palo Alto Networks’ Idira illustrates how vendors are consolidating human, machine and agentic identities into a single control plane. Idira sits at the center of the company’s model for identity security, bringing employee accounts, service accounts and autonomous AI agents under one policy framework. It aggregates capabilities from CyberArk, Koi and Portkey to manage privilege, visibility and agentic governance within the same platform. CyberArk contributes privileged-access management, enabling just-in-time elevation and rapid revocation of powerful permissions for both users and agents. Koi surfaces less traditional AI-related assets, such as plugins, scripts and endpoint artifacts that typically sit outside classic IAM. Portkey extends the model into governance for autonomous software, monitoring and securing AI-agent traffic across enterprise AI systems. By integrating Idira with Prisma AIRS, Cortex and Strata, identity decisions are pushed closer to runtime AI security, network enforcement and security operations workflows.
SailPoint’s Agentic Fabric Brings AI Agents into Identity Governance
SailPoint is approaching non-human identity management from the identity governance and administration side with its Agentic Fabric. The new platform layer extends the company’s Identity Security Cloud beyond human users to cover AI agents, machine identities and applications. Agentic Fabric is designed to discover agents across cloud environments and endpoints, inventory them, and map each one to human owners, data sets and entitlements through an identity graph. This enables security teams to manage lifecycle events, apply least-privilege policies and enforce real-time authorization for agents just as they do for employees or service accounts. SailPoint also highlights zero-standing privilege, where powerful permissions are granted only on demand for a specific task and then revoked. By packaging these controls into new agentic tiers, the company positions AI agent identity governance as a natural extension of existing IAM and IGA programs rather than a separate AI security silo.
Building Comprehensive Non-Human Identity Management with Integrated Stacks
The convergence of platforms such as Idira and Agentic Fabric signals a broader shift toward comprehensive non-human identity management. Instead of treating AI agents as opaque application features, enterprises are building agentic access control into their core IAM frameworks. Palo Alto Networks’ integration of CyberArk, Koi and Portkey demonstrates how privileged access, AI asset discovery and agentic governance can be combined in a unified policy layer. SailPoint’s model complements this by aligning AI agent identities with human owners, business roles and critical data relationships, reinforcing accountability and traceability. Together, these approaches address emerging requirements from analysts and industry groups for traceable agent identities, fine-grained authorization and continuous monitoring in multi-agent systems. For security teams, the next phase is operational: aligning existing IAM processes, SOC workflows and compliance controls so that every autonomous agent is onboarded, monitored and deprovisioned with the same rigor as a human user.