Runtime identity security for AI agents and machines, Nov. 12

At a glance

What this is: NHI Mgmt Group's analysis, drawing on Akeyless's event briefing: AI agent and machine identity growth is pushing organisations toward runtime identity security, secretless authentication, and just-in-time access to reduce standing privilege risk.

Why it matters: IAM, PAM, and NHI teams need to treat AI agents as governed identities, because long-lived credentials and persistent access are becoming a poor fit for dynamic machine and autonomous access patterns.

👉 Register for Akeyless's live discussion on AI identity security, November 12

Context

The governance gap is not simply more credentials. It is that identity programmes built around stable, reviewable access are being asked to manage machine identities and AI agents that operate with faster, more dynamic access patterns than those controls were designed for. Key challenges and risks now show up as a lifecycle problem, not just a secret-storage problem.

Akeyless's briefing frames the issue around runtime identity security, secretless authentication, and just-in-time access across humans, machines, and AI agents. That mix matters because the question for practitioners is no longer whether non-human identities exist, but whether access is issued, constrained, and retired in a way that matches their operating model.

Key questions

Q: How do teams secure AI agents without relying on standing access?

A: Teams secure AI agents by giving them short-lived, scoped credentials at runtime instead of long-lived secrets or permanent permissions. Secretless authentication usually means the agent proves its identity through an external trust mechanism, then receives ephemeral access to tools, data or APIs under least privilege, with logs, revocation and an accountable human owner. secretless authentication

Q: How does secretless authentication differ from just-in-time access?

A: Secretless authentication is a way for a workload or agent to authenticate without storing reusable secrets, usually by exchanging a trusted runtime identity for a short-lived token or assertion. just-in-time access is an authorisation control that grants permissions only when needed and for a limited period. Secretless authentication handles how identity is proved, JIT handles when access is granted.

Q: How should organisations govern identity across hybrid cloud environments?

A: Treat hybrid identity as a single policy problem, not separate cloud and on-prem tasks. Standardize roles, approvals, and logging across environments, then enforce least privilege and time-bound access for both humans and NHIs. The goal is consistent authorization, because inconsistent controls create the gaps attackers exploit.

Q: Why do long-lived secrets create more risk for non-human identities than for human users?

A: Long-lived secrets are durable bearer tokens, so anyone who copies them can reuse them outside the intended task boundary. For non-human identities, that creates a wider attack window because scripts, pipelines, agents, and microservices can all reuse the same credential path. The result is easier lateral movement and weaker accountability.

Background and context

Why standing privilege fails for AI agents and machine identities

Standing privilege gives an identity durable access that remains valid across multiple tasks and sessions. That model works poorly when the subject is a machine identity or AI agent that needs access only for a narrow runtime window, because the access outlives the task that justified it. Secretless authentication reduces reliance on stored secrets, while just-in-time access narrows the period in which privileges can be abused. The architectural point is not convenience. It is that persistent access becomes a liability when the identity is expected to act repeatedly, automatically, and at machine speed. Read the Ultimate Guide to NHIs: Static vs Dynamic Secrets.

Practical implication: Treat persistent access as an exception for non-human identities, not the default.

Runtime identity security and secretless authentication

Runtime identity security shifts enforcement to the moment an identity requests access, rather than relying on a credential that was issued long before the action takes place. Secretless authentication does the same by replacing copied secrets with short-lived trust exchanges, reducing the value of leaked credentials. For machine identities, this matters because the attack surface is often the secret itself, not the workload that uses it. In practice, the mechanism only works when issuance, validation, and revocation are all managed as one control plane instead of as separate operational steps. See the API Key Management Guide.

Practical implication: Align authentication, issuance, and revocation so non-human access can be retired as quickly as it is created.

How hybrid and multi-cloud environments complicate NHI governance

Hybrid and multi-cloud estates fragment identity controls across platforms, teams, and runtime layers. That fragmentation makes it harder to know where a machine identity exists, which system owns it, and which privileges remain active. For AI agents, the problem deepens because their access may be brokered through multiple services and execution paths. The result is a governance gap where identity scope and operational scope drift apart. The control challenge is therefore not only inventory, but also maintaining a consistent access lifecycle across environments that were never designed to behave as one identity domain.

Practical implication: Map every non-human identity to an owner, runtime, and revocation path across all environments.

NHI Mgmt Group analysis

Standing access is the wrong default for machine-speed identities. The core governance mistake is treating non-human access like durable human access with periodic review. Machine identities and AI agents often need short, task-scoped privilege, so persistent entitlement creates exposure that outlasts the work it was meant to support. The implication is that identity programmes should stop assuming access will remain stable long enough to govern it on a calendar cycle.

Secretless authentication is a governance pattern, not a convenience feature. The value is not only fewer stored credentials. It is the removal of a reusable secret as the unit of trust for workloads and agents. That changes how access is issued, validated, and revoked across hybrid environments. Practitioners should treat this as a shift in control model, not as a narrower password alternative.

Runtime identity security is now the practical boundary between access issuance and access abuse. When access is decided at runtime, the control point moves closer to the moment of use and away from static provisioning records. That is especially relevant where AI agents operate across tools and environments with rapid context changes. Lifecycle processes for managing NHIs become more effective when they are tied to runtime behaviour rather than static entitlements.

Secret sprawl and access sprawl are converging into one NHI governance problem. The field should no longer separate credential management from privilege management as though they are different disciplines. Long-lived secrets, standing privileges, and fragmented ownership now reinforce one another across hybrid estates. Practitioners need to evaluate NHI governance as a single lifecycle problem that spans issuance, use, and retirement.

AI agent identity security introduces an identity blast-radius problem. Once an agent can act across multiple tools, the relevant question is not whether it has access, but how far that access can propagate during a runtime session. That makes entitlement scope, session duration, and tool reach the decisive variables. Security teams should treat agent identity as an access containment problem, not just an authentication one.

From our research library:

• 88% of security professionals are concerned about secrets sprawl, with 49% of those in larger organisations described as "very concerned", according to the 2024 State of Secrets Management Survey.
• 54% of organisations are dissatisfied with their current secrets management solution because not all secrets are secured, and 43% cite lack of central management, according to the 2024 State of Secrets Management Survey.
• Read next: Secrets Management Guide

What this signals

Runtime trust will matter more than static entitlement review. Programmes built around periodic certification will struggle when non-human identities are issued, used, and retired inside short execution windows. The control emphasis is moving toward issuance-time decisions, session duration, and revocation latency.

Identity blast radius is becoming the more useful design variable. For AI agents and machine identities, the practical question is how far a credential can travel across tools, environments, and services before it is constrained. That makes privilege scope and environment separation more important than simply counting identities.

Governance teams should expect more pressure to unify secrets management with NHI lifecycle controls. When credentials, ownership, and runtime access are handled in separate processes, the organisation creates gaps that are hard to see and harder to close.

For practitioners

• Define separate access policies for AI agents and machine identities Set task-scoped rules for each non-human identity type, with explicit owner, runtime purpose, and expiry conditions. Do not reuse human access templates for machine-driven workflows.
• Replace standing credentials with short-lived authentication Prioritise secretless authentication, ephemeral tokens, and just-in-time grants for workloads that do not need persistent access. Remove reusable credentials where runtime trust can be established instead.
• Inventory non-human identities across hybrid estates Build a complete map of service accounts, API keys, certificates, and AI agent identities, then tie each one to a business owner, system owner, and revocation path.
• Review privilege scope at the point of use Check whether each identity still needs the same tools and permissions when the session starts. Reduce tool reach and entitlements before execution begins, not after access has already been granted.

Key takeaways

• AI agents and machine identities require a different access model from stable human users because their privileges are often short-lived and task-specific.
• The main governance risk is not just more identities, but more reuse of long-lived secrets and standing access across hybrid environments.
• Identity teams should move control to issuance time, tighten privilege scope, and connect every non-human identity to an owner and revocation path.

Related NHI Mgmt Group resources: Ultimate Guide to NHIs: Static vs Dynamic Secrets · Guide to the Secret Sprawl Challenge · Secrets Management Guide

Key terms

• Secretless Authentication: Secretless authentication is a pattern that keeps long-lived credentials out of application code and runtime memory wherever possible. Instead of exposing secrets directly to workloads, the access path mediates credential delivery at connection time, reducing the chance that stolen configuration or code reveals reusable access.
• Just-in-Time (JIT) Access: Just-in-Time (JIT) Access grants permissions only when needed and removes them after use. In IAM and PAM, it reduces standing privilege by issuing time-bound access based on approval, context, or policy, limiting exposure for humans, service accounts, and non-human identities while improving auditability and control.
• Runtime Identity Security: Runtime Identity Security is the practice of protecting identities while they are actively being used by software, services, devices, or agents. It focuses on controlling authentication, authorization, secrets, and session behavior at execution time, so compromised credentials, excessive privileges, or abnormal identity actions can be detected and contained quickly.
• Standing Privilege: Standing privilege is access that remains active even when no immediate task requires it. For NHI programmes, it is a common failure mode because long-lived credentials and persistent roles create unnecessary exposure. Reducing standing privilege usually means tighter expiry, on-demand access, and clearer review of who or what still needs access.

What to expect at the briefing

Akeyless's full event briefing covers the operational detail this post intentionally leaves for the source:

• Platform walkthrough of runtime identity security and how it is applied in practice
• Examples of secretless authentication and just-in-time access in hybrid environments
• Discussion of AI agent identity challenges from the vendor's perspective
• Overview of how the platform is positioned for human, machine, and AI agent access

👉 The full Akeyless discussion covers runtime identity security, secretless authentication, and just-in-time access in more operational detail.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an identity security programme, it is worth exploring.