Zero Standing Privileges (ZSP) and Just-in-Time (JIT) Access: The New Security Standard for the AI Era

Zero Standing Privileges (ZSP) and Just-in-Time (JIT) access eliminate persistent credentials by granting access only when needed, for a specific task, and for a limited time.

How ZSP and JIT Access Change Identity Security

As organizations adopt AI-driven systems to automate work across cloud, data, and SaaS As AI-driven systems automate work across cloud, data, and SaaS environments, traditional access models are failing. Static credentials, long-lived permissions, and role-based controls were not designed for autonomous systems operating in real time.

Zero Standing Privileges (ZSP) and Just-in-Time (JIT) access define a new model: access is created dynamically, scoped to a specific task, and removed immediately after use.

This shift is critical for AI agents and modern automation, where actions happen without direct human oversight. Security can no longer rely on persistent access. It must evaluate whether a specific action should be allowed at a specific moment.

In the AI era, identity must be ephemeral, contextual, and continuously verified.

The Problem: AI Systems Are Breaking Traditional Access Models

AI systems, including autonomous agents, workflows, and machine-driven processes, are rapidly evolving from passive tools into active operators. They query databases, trigger workflows, modify infrastructure, and interact with sensitive systems across environments.

This shift introduces a new kind of identity challenge, one that traditional IAM, PAM, and secrets management tools were not built to handle.

Historically, access has been granted through static credentials: API keys, service accounts, and long-lived tokens embedded in applications and automation workflows. These credentials persist long after they are needed, creating a large and often invisible attack surface.

With modern AI-driven systems, this model becomes increasingly fragile.

Systems are created across multiple frameworks, connected to infrastructure using reused credentials, and often operate without clear ownership or lifecycle governance. This leads to identity sprawl, orphaned credentials, and excessive privileges that accumulate over time.

More importantly, traditional access controls are blind to intent. A role-based policy may allow access to a system, but it cannot determine whether the requested action aligns with the original purpose.

In environments where systems act autonomously and at scale, that gap becomes unacceptable.

Why Static Access and Standing Privileges Fail

The core issue with traditional access models is persistence.

When credentials are long-lived and permissions are always available, organizations are effectively granting standing privilege. That privilege exists whether it is actively needed or not. If compromised, it provides immediate and often broad access to critical systems.

This model creates three fundamental risks.

First, it expands the attack surface. Credentials that persist in code, pipelines, or runtime environments can be leaked, reused, or exploited long after their original purpose has passed.

Second, it increases blast radius. When access is broad and always available, a single compromised identity can lead to widespread impact.

Third, it removes context from decision-making. Static policies evaluate identity, not intent. They cannot determine whether an action aligns with the intended task.

These limitations become especially visible with AI-driven systems, where actions are fast, chained, and sometimes unpredictable.

Traditional models were designed for predictable, human-driven access. Modern systems are neither predictable nor slow.

Real breach example

A recent 2026 breach at cloud platform Vercel highlights how modern attacks increasingly exploit standing access and over-permissive integrations rather than traditional vulnerabilities. 

In this incident, attackers compromised a third-party AI tool that had been granted broad OAuth permissions to an employee’s Google Workspace account. Because this access was persistent and not scoped to a specific task or time window, attackers were able to leverage it to access internal systems and sensitive environment variables. This breach underscores a growing pattern: attackers don’t need to break in, they log in using existing credentials and tokens. A Zero Standing Privileges (ZSP) and Just-in-Time (JIT) model would have limited this exposure by eliminating always-on access and enforcing time-bound, intent-based permissions.
(Source: The Verge)

Gartner validation

Industry analysts are reinforcing the same shift. Gartner notes that many organizations still rely on broad, persistent privileged access, which “leads to unnecessarily increased risk,” and warns that even with traditional PAM tools, “the risk posed by standing privileges remains high” unless organizations fundamentally change their access model.* This reinforces a critical point: securing credentials is not enough, organizations must eliminate always-on access entirely and move toward dynamic, just-in-time models.
*Source: Gartner, Reduce Risk Through a Just-in-Time Approach to PAM, Paul Mezzera, Nayara Sangiorgio, Michael Kelley, Abhyuday Data, Felix Gaehtgens, April 11 2025

Identity Is the New Perimeter

Enterprise leaders are reinforcing this shift beyond the security industry. Microsoft CEO Satya Nadella has emphasized that “identity is the new perimeter,” underscoring how access, not infrastructure, has become the primary control plane in modern environments. This reflects a broader reality across Fortune 500 organizations: as systems become more distributed and automated, security boundaries disappear, and identity becomes the only consistent point of control. Without eliminating persistent access and enforcing dynamic, context-aware permissions, organizations risk exposing their most critical systems through the very identities designed to operate them.

The Shift: From Static Access to Dynamic, Ephemeral Identity

To secure modern environments, organizations must move away from persistent access and toward dynamic identity.

This shift is best captured through two core principles:

• Zero Standing Privileges (ZSP)
• Just-in-Time (JIT) Access

Together, they define a model where access is not assumed, not stored, and not reused. It is created only when needed and removed immediately after.

This is the foundation of modern identity security across machines, applications, and AI-driven systems.

What Is Zero Standing Privileges (ZSP)?

Zero Standing Privileges is the principle that no identity, human or non-human, should have persistent access to systems or data.

In a ZSP model:

• There are no long-lived credentials embedded in code or environments
• There are no always-on permissions assigned to identities
• Access does not exist until it is explicitly requested and approved

Systems operate in a state of zero inherent access, where every action must be explicitly authorized and every permission is temporary.

ZSP eliminates the concept of “always authorized.” Instead, it enforces a model where access is conditional, contextual, and time-bound.

This significantly reduces the attack surface by removing dormant credentials and unused permissions.

What Is Just-in-Time (JIT) Access?

Just-in-Time access is the mechanism that enables ZSP in practice.

Rather than granting permanent credentials, JIT access dynamically generates identity and permissions at the moment they are needed. These credentials are:

• Scoped to a specific task
• Bound by strict time limits (TTL)
• Automatically revoked when the task completes

In modern implementations, this often takes the form of dynamic secrets or ephemeral identities created on demand and destroyed immediately after use.

Instead of relying on persistent credentials, systems receive access only when required, and only for the duration of a specific action.

This ensures access is minimal, temporary, and tightly controlled.

Why ZSP and JIT Are Essential in the AI Era

ZSP and JIT are not new concepts. However, the rise of AI makes them essential.

Modern systems, especially AI-driven ones, operate:

• Autonomously
• In real time
• Across multiple systems and environments

This changes the nature of access risk.

A valid credential no longer guarantees a valid action. Systems must evaluate not only identity, but context and purpose.

By enforcing ZSP and JIT, organizations ensure that:

• No access exists outside of active execution
• Every action is tied to a specific context
• Permissions cannot accumulate or drift over time

This dramatically reduces both the likelihood and impact of security incidents.

It also aligns with zero-trust principles, where access is continuously verified rather than assumed.

ZSP and JIT in AI-Driven Systems: From Principle to Enforcement

While Zero Standing Privileges (ZSP) and Just-in-Time (JIT) access apply broadly, their importance becomes especially clear in AI-driven environments.

AI agents, in particular, highlight the limitations of traditional models. They interpret natural language, make decisions dynamically, and execute actions across multiple systems, often within seconds. This creates a need for access that is both highly controlled and extremely short-lived.

In this context, systems must operate with no inherent permissions and no direct access to sensitive resources. Every action must be mediated, evaluated, and explicitly authorized.

JIT access enables this by creating identity on demand. When an action is approved, a temporary credential is generated with the exact permissions required, bound by a strict time-to-live, and automatically revoked after use.

This approach ensures that:

• Access is always tied to a specific task
• Credentials do not persist beyond execution
• Privileges cannot accumulate over time

It also introduces a critical architectural principle: systems should never directly hold or manage credentials. Instead, access is brokered through a controlled layer, reducing exposure and preventing leakage.

AI agents make this requirement obvious, but the same model applies across all modern, automated systems.

What “Good” Looks Like: A Modern Identity Security Model

Organizations that successfully adopt ZSP and JIT typically share several characteristics.

They eliminate static credentials, enforce strict time-bound access, centralize policy control, and maintain full traceability of every action.

Access becomes ephemeral by default, and identity is created only when needed.

This model improves security while also simplifying operations, reducing the overhead associated with managing, rotating, and securing long-lived credentials.

The Bottom Line: A New Security Standard

The rise of AI and automation is forcing a fundamental rethink of how access is granted and controlled.

Zero Standing Privileges and Just-in-Time access are no longer optional, they are becoming the standard for securing modern systems.

They shift security from a model of persistent access to one of dynamic, context-aware identity. They reduce risk by eliminating unnecessary exposure. And they enable organizations to scale automation without losing control.

In the AI era, the question is no longer “who has access?”
It is “should this action be allowed right now?”

ZSP and JIT are how you answer that question.

From Principle to Practice: How Akeyless Enforces ZSP and JIT

Zero Standing Privileges (ZSP) and Just-in-Time (JIT) access define a new security standard, but adopting them requires more than policy changes. It requires a different way of delivering access.

Traditional approaches focus on managing and securing existing credentials. But in a ZSP model, credentials should not exist until the moment they are needed. This means systems cannot rely on stored secrets, embedded tokens, or always-on permissions.

Akeyless is built around this principle.

Instead of distributing or managing long-lived credentials, Akeyless acts as a centralized access broker, ensuring that access is never persistent and never directly held by systems, applications, or AI agents.

When access is required:

• A request is evaluated in real time against centralized policy
• Temporary, task-specific access is generated dynamically (JIT)
• Permissions are tightly scoped to the requested action
• Access is automatically revoked after a strict time-to-live (TTL)

In this model, identities operate with zero inherent access, and every action must be explicitly authorized.

Critically, sensitive credentials are never exposed to applications or stored in code, pipelines, or runtime environments. Access is always mediated, controlled, and fully auditable.

This approach ensures that:

• No standing privileges can exist
• Credentials cannot be leaked or reused
• Permissions cannot accumulate over time
• Every action is evaluated in its proper context

By combining dynamic identity, real-time policy enforcement, and ephemeral access, Akeyless makes ZSP and JIT enforceable at scale.

In modern, AI-driven environments, this is not just an implementation detail, it is what makes secure automation possible. To learn more or see ZSP and JIT in action, contact the Akeyless team.

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