Zero Standing Privileges and JIT-Revokable Permissions for AI Agents: Enterprise Implementation

See also (wiki): agent-identity-permissions · agentic-ai-governance · ai-cybersecurity · mcp-security-governance · agent-operations-observability

Source credibility: HIGH. TIER 1–2. Primary sources: CyberArk press release and product documentation (Secure AI Agents Solution, GA December 2025), Okta product announcement (Okta for AI Agents, GA April 30, 2026), BeyondTrust Pathfinder platform documentation, Gartner press release (August 26, 2025, n not disclosed), Palo Alto Networks Idira platform announcement (May 2026), Saviynt IGA recognition. CyberArk CISO research cited for adoption statistics (76% agent adoption projection; <10% adequate controls) — treat as vendor-commissioned, directionally credible. Gartner 40% prediction is analyst projection, not measured outcome. Vendor sources (CyberArk, BeyondTrust, Okta) are TIER 2 — technically credible, commercially motivated.

Executive Summary

• Zero Standing Privileges (ZSP) is the security model in which no identity — human or machine — holds persistent privileged access. Access is provisioned per task, scoped to the minimum needed, and automatically revoked on completion. It is the logical endpoint of the least-privilege principle and is now being applied to AI agent identities for the first time at enterprise scale.
• As of 2026, the PAM market is actively adapting. CyberArk (Secure AI Agents, GA December 2025), BeyondTrust (Pathfinder), Okta (for AI Agents, GA April 30, 2026), and Palo Alto Networks (Idira, announced May 2026) have all released or announced purpose-built agent identity security products. None existed in this form 18 months ago.
• The adoption gap is severe: Gartner projects 40% of enterprise applications will include task-specific AI agents by end of 2026, up from fewer than 5% in 2025. CyberArk’s CISO research found fewer than 10% of organizations have adequate security and privilege controls for agent identities. The velocity of agent deployment has outrun the governance infrastructure to manage it.
• Agent identity JIT differs structurally from human JIT access. Human JIT is a workflow gate — a person requests elevated access, a reviewer approves it, access is granted for a time window, then revoked. Agent JIT must operate at machine speed: provision on task initiation, scope to the exact resources the task requires, revoke on task completion — all without human latency in the loop.
• Only 1% of organizations have fully implemented JIT privileged access even for human identities, per CyberArk research. Enterprise deployment of ZSP for agent identities is starting from a lower base than most security teams recognize.

The Conceptual Distinction: PoLP vs. ZSP/JIT

These three concepts are nested and distinct. Conflating them leads to security programs that claim more protection than they deliver.

Principle of Least Privilege (PoLP): Identities hold the minimum permissions required to perform their function. Permissions are standing — they persist as long as the identity exists. This is the baseline. Most enterprise IAM programs claim compliance here; in practice, privilege creep means most identities hold more than they need.

Just-in-Time (JIT) Access: Permissions are not standing. They are provisioned when requested (or triggered by a workflow event), used for a defined window, and then revoked. The identity returns to a low- or zero-privilege state after each access period. JIT requires an approval or automation layer that the organization must design and maintain.

Zero Standing Privileges (ZSP): The endpoint of JIT — at rest, an identity holds no standing privileged access at all. Every privileged action requires a fresh provision-use-revoke cycle. ZSP is harder to achieve than JIT because it requires eliminating all persistent elevated access, including long-lived service account tokens, shared credentials, and standing API keys — the categories that dominate AI agent deployments today.

For AI agents, the practical difference between PoLP and ZSP is the difference between an agent that always holds a database read token (PoLP) and an agent that retrieves a short-lived, session-scoped token at task start and the token expires on task completion (ZSP). Both may satisfy a “least privilege” audit checkbox. Only the second materially limits blast radius if the agent is compromised mid-task.

Why AI Agent Identities Are Structurally Different

Traditional PAM was designed for human identities: slow-moving, reviewable, auditable by definition because a person is in the loop. AI agents introduce a set of characteristics that break those assumptions:

Scale: A single enterprise agentic deployment can spawn thousands of agent instances simultaneously. CyberArk’s analysis notes that agents can be created and destroyed in seconds, operating across hybrid and multi-cloud environments. No human PAM workflow operates at this velocity.

Non-persistence: Agents are often ephemeral. They are instantiated for a task, execute, and terminate. A credential provisioned to an ephemeral agent that outlives the agent is a persistent credential with no active identity attached to it — a classic standing privilege problem at machine scale.

Machine-to-machine authentication: Multi-agent pipelines involve agents authenticating to other agents. This is not a human-to-system authentication pattern. It requires agent-to-agent trust frameworks — cryptographic agent identity, scoped delegation, and per-hop authorization verification — that standard PAM architectures were not designed to provide.

Orchestrator-to-sub-agent delegation: In multi-agent systems, an orchestrator agent delegates tasks to sub-agents. The sub-agent needs credentials to execute — but those credentials should be scoped to the sub-task, not inherited wholesale from the orchestrator. Singapore MGF’s May 2026 update made this explicit: orchestrator permissions do not automatically transfer to sub-agents. Current PAM systems have no native concept of layered agent delegation.

How PAM Vendors Are Adapting

CyberArk — Secure AI Agents Solution (GA December 2025)

CyberArk extended its Identity Security Platform with purpose-built agent privilege controls. Key capabilities:

• Agent discovery: Automatically detects AI agents across SaaS, cloud, and developer environments. Most enterprises have more deployed agents than their security teams know about.
• Zero standing privileges for agents: Agents retrieve credentials from CyberArk’s vault just-in-time rather than holding long-lived tokens. Credential rotation is automated.
• Lifecycle management: Agents are governed from creation through decommission. The goal is eliminating stale agent identities — a category that is already a documented attack surface.
• MCP server scope management: Explicitly included. Agents connecting via MCP retrieve scoped, short-lived credentials through CyberArk rather than holding broad-scope tokens in memory or configuration.
• Full audit trail: Every privilege grant, use, and revocation is logged. This satisfies the Singapore MGF requirement for tamper-evident runtime records.

BeyondTrust — Pathfinder (Available 2026)

BeyondTrust’s Pathfinder platform applies ZSP and JIT access to AI agents without disrupting workflows. BeyondTrust frames its positioning as “least privilege policies for AI agents” — applying the same principles the firm has applied to human privileged access for two decades, adapted to agent identity patterns. The emphasis is on not disrupting the agent’s operational workflow while enforcing JIT access — a usability constraint that is less relevant for machine identities than for human ones, but matters for high-throughput agentic pipelines where PAM overhead becomes a latency bottleneck.

Okta — Okta for AI Agents (GA April 30, 2026)

Okta’s approach treats agent identity as a first-class identity problem rather than an extension of service account management. Core architectural decisions:

• Every agent gets an identity: Registered in the Okta identity directory, linked to an accountable human owner. This directly implements Singapore MGF’s agent identity requirement.
• Cross App Access (XAA) protocol: An open protocol built on OAuth that secures agent-driven app-to-app communications. Replaces point-to-point credentials with centrally regulated, policy-driven, auditable access. This addresses machine-to-machine authentication for agent-to-agent interactions.
• JIT scoping with auto-revocation: Access is narrowly scoped, granted only when necessary, and revoked after use. Blast radius is minimized per-task.
• Federated with existing IdPs: Okta for AI Agents federates with Microsoft Entra and other IdPs via OIDC and SAML. This matters for enterprises that already run Entra for their human identity stack — agent identities can live in a unified policy environment rather than a separate silo.
• Automated credential rotation: Replaces long-lived static secrets with time-bounded tokens. This is the ZSP-adjacent control that eliminates the standing credential problem without requiring full ZSP architecture.

Microsoft Entra — Agent Identity in the Microsoft Ecosystem

Microsoft Entra’s agent identity capabilities are integrated into Copilot Studio and Azure AI Foundry rather than announced as a standalone product. Agents deployed in the Microsoft ecosystem inherit Entra’s conditional access policies, managed identities, and workload identity federation. For organizations already on the Microsoft stack, this provides a native path to scoped agent credentials — but coverage is limited to agents running within Microsoft’s agentic infrastructure. Third-party agents connecting via MCP or A2A to Microsoft systems require additional integration work.

Saviynt — Identity Governance for Agent Identities

Saviynt’s Identity Governance and Administration platform (recognized as Gartner Customers’ Choice for IGA for the fifth consecutive time in 2026) has extended its governance capabilities to AI agent identities. Saviynt’s positioning is governance-layer — not just provisioning, but the audit, compliance, and lifecycle review functions that regulators require. Agents in financial services and healthcare need not only JIT provisioning but audit trails showing when access was granted, to what, for how long, and by whose authorization. Saviynt’s governance layer provides this on top of the provisioning capabilities that CyberArk and Okta offer.

Palo Alto Networks — Idira (Announced May 2026)

Idira is Palo Alto’s next-generation privileged access platform, announced May 2026. Its stated design principle is zero standing privilege by default across human, machine, and AI agent identities on a single control plane. The significance is architectural: rather than adding agent identity as a module on top of a human PAM platform, Idira treats ZSP as the default state for all identity types from the start. Palo Alto frames this as democratizing privilege controls — making ZSP the baseline rather than the aspirational endpoint.

What JIT Provisioning Looks Like for Agent Identities Specifically

A concrete JIT cycle for an agent performing a database query task illustrates the pattern:

1. Task initiation: Orchestrator instantiates an agent for a specific task — for example, retrieving customer contract records to support a proposal generation workflow.
2. Identity assertion: Agent presents its registered identity (Okta XAA token or CyberArk-issued credential) to the PAM system.
3. Just-in-time provisioning: PAM evaluates the task scope and provisions a short-lived credential scoped to the specific database table(s) required for the task. The credential has an explicit expiration — typically tied to the expected task duration plus a small buffer.
4. Task execution: Agent uses the credential to access the database. The credential cannot be used for any resource outside the scoped tables.
5. Auto-revocation: On task completion (or credential expiration, whichever comes first), the credential is invalidated. The agent returns to zero standing privileges.
6. Audit entry: The full cycle — identity assertion, scope issued, resources accessed, revocation timestamp — is written to the tamper-evident audit log.

This cycle must run without human approval latency for routine agent tasks. The human accountability requirement (Singapore MGF Dimension 2) is satisfied by the governance design — a human owner is linked to the agent identity and receives alerts on anomalous access patterns — not by per-task human approval.

Machine-to-Machine Authentication for Agent-to-Agent Interactions

The A2A protocol introduces a multi-hop authentication challenge that PAM architectures must address. When an orchestrator agent delegates to a sub-agent, the sub-agent needs credentials to perform its task — but those credentials should not be the orchestrator’s credentials propagated wholesale.

The emerging reference architecture:

• Each agent in the pipeline holds its own identity (Okta registered identity, CyberArk managed identity, or Entra workload identity).
• Orchestrator-to-sub-agent delegation uses a scoped delegation token — the orchestrator issues a token that authorizes the sub-agent to act within a defined scope on behalf of the orchestrator’s task, but does not transfer the orchestrator’s full credential set.
• Sub-agent credential scope is bounded by the intersection of (a) the orchestrator’s delegation token scope and (b) the sub-agent’s own registered permissions. A sub-agent cannot exceed either boundary.
• Every hop in the chain is logged independently. This produces an end-to-end audit trail that satisfies both Singapore MGF’s per-node authorization requirement and JPMC’s action traceability requirement.

Okta’s XAA protocol is the most operationalized implementation of this pattern as of mid-2026. The pattern is architecturally sound; enterprise adoption is early.

Gartner Context: Why This Is Urgent

Gartner’s August 2025 projection: 40% of enterprise applications will include task-specific AI agents by end of 2026, up from fewer than 5% in 2025. This represents an 8x increase in the number of agent identities that need to be governed within a 12-month window.

Against this backdrop: CyberArk’s CISO research found fewer than 10% of organizations have adequate security and privilege controls for agent identities. Only 1% of organizations have fully implemented JIT privileged access even for human identities.

The math is straightforward. Agent deployment velocity is running at roughly 8x the pace at which governance infrastructure is being built. For regulated industries — financial services, healthcare, critical infrastructure — this gap is a material compliance exposure, not just a security posture concern.

Key Data Points

Mapping to Singapore MGF and JPMC Requirements

What This Means for Your Organization

Most enterprise AI deployments in 2026 are provisioning agent identities the same way they provisioned service accounts in 2015: a static credential, stored in a configuration file or environment variable, with broad scope and no expiration. This was an accepted risk for service accounts; it is an acute risk for AI agents that process untrusted inputs and can take external actions.

The immediate audit is an agent credential inventory: which credentials does each deployed agent hold, what is their scope, and when do they expire? In most enterprises, this audit surfaces long-lived tokens with file:, db:, or admin:* scope that were provisioned at deployment and have never been rotated. These are the standing credentials that ZSP is designed to eliminate.

The 1% JIT adoption figure for human identities is a useful calibration: if a mature security organization with years of PAM investment has not fully implemented JIT for humans, assuming it can implement ZSP for agents without a dedicated program is unrealistic. Agent identity governance needs to be a funded program, not an extension of existing IAM operations.

The vendors are ready. CyberArk, BeyondTrust, Okta, and Palo Alto Networks all have purpose-built agent identity products available now. The question is whether the organization’s security program has a mandate to govern agent identities before an incident creates that mandate for them.

For organizations evaluating agentic AI governance programs in regulated industries, the combination of a Singapore MGF-aligned governance structure and a ZSP/JIT-enforcing PAM platform is the reference architecture that maps to both regulatory expectations and the practical threat model.

Sources

• Gartner — 40% of Enterprise Apps Will Feature Task-Specific AI Agents by 2026 (August 26, 2025): https://www.gartner.com/en/newsroom/press-releases/2025-08-26-gartner-predicts-40-percent-of-enterprise-apps-will-feature-task-specific-ai-agents-by-2026-up-from-less-than-5-percent-in-2025
• CyberArk — Secure AI Agents Solution announcement: https://www.cyberark.com/press/cyberark-introduces-first-identity-security-solution-purpose-built-to-protect-ai-agents-with-privilege-controls/
• CyberArk — Securing AI Agents: Privileged Machine Identities at Unprecedented Scale: https://www.cyberark.com/resources/least-privilege/securing-ai-agents-privileged-machine-identities-at-unprecedented-scale
• CyberArk — Only 1% of Organizations Have Fully Adopted JIT Privileged Access: https://www.cyberark.com/press/new-study-only-1-of-organizations-have-fully-adopted-just-in-time-privileged-access-as-ai-driven-identities-rapidly-increase/
• CyberArk — AI Agents and Identity Risks: How Security Will Shift in 2026: https://www.cyberark.com/resources/blog/ai-agents-and-identity-risks-how-security-will-shift-in-2026
• BeyondTrust — Zero Standing Privileges Definition: https://www.beyondtrust.com/resources/glossary/zero-standing-privileges
• BeyondTrust — Agentic AI Security: Closing the Gap: https://www.beyondtrust.com/blog/entry/closing-the-agentic-ai-security-gap
• Okta — Every Agent Needs an Identity (EA announcement): https://www.okta.com/blog/ai/okta-ai-agents-early-access-announcement/
• Okta — Okta for AI Agents product page: https://www.okta.com/products/govern-ai-agent-identity/
• Okta — Showcase 2026 press release (GA April 30, 2026): https://www.okta.com/newsroom/press-releases/showcase-2026/
• Palo Alto Networks — Idira: Journey to Democratize Privilege Controls (May 2026): https://www.paloaltonetworks.com/blog/2026/05/idira-journey-democratize-privilege-controls/
• Saviynt — Gartner Customers’ Choice IGA 2026: https://saviynt.com/press-release/saviynt-2026-gartner-peer-insights-customers-choice-iga
• Singapore IMDA MGF for Agentic AI, May 2026 update: https://www.imda.gov.sg/-/media/imda/files/about/emerging-tech-and-research/artificial-intelligence/mgf-for-agentic-ai.pdf
• JPMorganChase Technology Blog — Securing the Next Generation of AI Agents (March 23, 2026): https://www.jpmorganchase.com/about/technology/blog/securing-agentic-ai

Brandon Sneider | brandon@brandonsneider.com May 2026