Secretless access and passwordless identity reduce NHI risk

At a glance

What this is: This is an analysis of how secretless access and passwordless identity change the security model for human and machine identities by replacing long-lived credentials with dynamic, short-lived ones.

Why it matters: It matters because IAM, PAM, and NHI teams have to govern identities whose credentials may never be stable enough for traditional review, rotation, or offboarding cycles.

👉 Read Akeyless' analysis of passwordless and secretless identity access

Context

Static credentials remain a core identity security problem because they extend the life of access beyond the session, workload, or task that actually needs it. In cloud, Kubernetes, and microservice environments, that persistence creates unnecessary exposure for both human and non-human identities.

The article focuses on the split between passwordless human access and secretless machine access, which is a useful lens for IAM and NHI programmes. The underlying governance question is not whether access is convenient, but whether credentials are persistent longer than the identity behaviour that depends on them.

That distinction matters because JIT tokens, short-lived certificates, and ephemeral API credentials change what can be reviewed, revoked, and recovered after compromise. The starting position described here is typical for modern multi-cloud estates, which is exactly why the governance gap keeps recurring.

Key questions

Q: How should security teams reduce reliance on static credentials for workloads?

A: Start by identifying which workloads can authenticate with cloud identity, Kubernetes identity, OIDC, certificates, or attestation instead of carrying reusable secrets. Then issue short-lived credentials at runtime only when access is needed. This reduces exposure, simplifies lifecycle control, and lowers the chance that leaked material can be reused across systems.

Q: Why do static API keys and SSH keys remain a problem even with MFA?

A: MFA protects the login step, but it does not solve the wider problem of credentials that can be copied, reused, or embedded in automation. Once a secret escapes its original context, it can travel through scripts, containers, and shared systems. Short-lived credentials reduce that reuse window and shrink the attacker’s opportunity.

Q: What breaks when organisations manage machine identities like user accounts?

A: The programme loses visibility, ownership, and lifecycle control. Machine identities do not follow human onboarding, MFA, or password-reset patterns, so user-first processes miss the real control points. That leads to orphaned credentials, weak attribution, and a larger attack surface than the access review process is able to detect.

Q: What frameworks are most relevant to workload identity governance?

A: OWASP NHI guidance, Zero Trust Architecture, and NIST CSF are the most directly applicable starting points. They help teams align access policy, observability, and lifecycle governance so machine identities are handled as first-class identities rather than as ad hoc technical artefacts.

Technical breakdown

Why static credentials fail in multi-cloud identity flows

Static credentials create a durable secret that can be reused across sessions, services, and environments, which turns one compromised token into a broad access problem. In machine identity estates, that often means API keys, certificates, SSH keys, or tokens survive far longer than the workload that uses them. Secretless access replaces that persistence with on-demand issuance, which narrows the exposure window and shifts control from secret storage to runtime authentication. The main security value is not just fewer secrets, but less blast radius when one secret is exposed.

Practical implication: map every long-lived credential to the workload or user session it serves and remove any access path that does not need to persist.

How passwordless human access and secretless machine access differ

Passwordless authentication for humans removes password reuse and theft from the path, usually by relying on SSO, MFA, or biometric-backed flows. Secretless machine access is different: the workload still authenticates, but it does so through short-lived tokens or certificates issued at runtime rather than stored static credentials. The governance challenge is that these are separate identity problems with overlapping infrastructure. Treating them as one control plane leads to gaps, because human login assurance and workload credential lifecycle are not the same discipline.

Practical implication: separate human IAM controls from workload identity controls even when they share the same access platform.

Why JIT tokens matter for Kubernetes and API-driven services

Kubernetes and microservice estates multiply identity instances because containers, pods, and service-to-service connections appear and disappear quickly. Static secrets do not match that lifecycle, which is why they often end up hardcoded, copied across teams, or stored in places that are difficult to govern. Just-in-time tokens solve the timing problem by creating a credential only when access is needed and letting it expire when the task ends. That reduces standing exposure and makes credential abuse harder to sustain.

Practical implication: use runtime-issued credentials for workload-to-workload access and prohibit embedded static secrets in deployment pipelines.

Threat narrative

Attacker objective: The attacker wants durable access to sensitive infrastructure and data by abusing credentials that outlive the session or workload that created them.

1. Entry begins when a long-lived API key, SSH key, or password is exposed in a cloud, Kubernetes, or remote access workflow.
2. Escalation follows when the same credential is reused across services or privileges are broader than the task required.
3. Impact occurs when the exposed secret enables unauthorized access to databases, Linux servers, or production workloads before revocation can occur.

Breaches seen in the wild

• MongoBleed breach — MongoBleed exposed secrets across 87K MongoDB servers.
• IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Static credential dependence is the root governance failure in this model. Long-lived passwords, API keys, SSH keys, and tokens assume the identity will keep behaving in a stable, reviewable way after access is granted. That assumption fails in cloud, Kubernetes, and microservice estates where the access need is task-bound and transient. The implication is that identity governance must stop treating persistence as normal for machine access.

Secretless access creates a runtime control model, not just a credentialing model. The security value comes from making access ephemeral and context-bound, which changes how compromise behaves. Instead of one secret protecting many downstream actions, each request becomes a narrower event with shorter usefulness to an attacker. Practitioners should treat that as a blast-radius reduction strategy, not merely a convenience feature.

Human passwordless and machine secretless are parallel governance tracks, not interchangeable controls. Passwordless human authentication reduces password theft and reuse, while secretless machine access removes the need for stored credentials entirely. Those are different identity behaviours with different lifecycle and assurance requirements. The implication is that IAM teams need separate policy, telemetry, and offboarding expectations for people and workloads.

Zero standing privilege becomes more credible when credentials are issued just in time. If access is minted only when needed and expires with the session, the control objective shifts from policing a permanent entitlement to governing transient authorisation. That is a stronger fit for infrastructure with rapid scaling, ephemeral workloads, and distributed service-to-service calls. Practitioners should view JIT identity as a structural answer to privilege creep in machine estates.

SPIFFE-style workload identity only works cleanly when the underlying secret lifecycle is governed. The article’s integration point is a reminder that workload identity standards do not eliminate the need for secret management underneath them. Certificates, keys, and tokens still need issuance, rotation, and revocation discipline. For identity programmes, the lesson is that standards improve portability, but governance still decides whether the trust fabric is sustainable.

From our research:

• 67% of organisations still rely heavily on static credentials despite the risks they pose to agentic AI deployments, according to The 2026 Infrastructure Identity Survey.
• Only 44% of organisations have implemented any policies to manage their AI agents, showing that governance is lagging the pace of adoption.
• Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs is the next step for teams that need a lifecycle model for issuing, rotating, and revoking machine access.

What this signals

Static credential debt: the longer a secret survives across cloud, Kubernetes, and remote admin workflows, the more governance effort is required to prove who can still use it. For teams moving toward ephemeral access, the important question is no longer where the secret lives, but whether any business process still depends on its persistence.

The practical signal for IAM and PAM programmes is that passwordless human access and secretless machine access should be governed as separate operating models, even if they share the same platform. That distinction will matter more as teams adopt workload identity standards and need evidence for runtime issuance, expiry, and revocation across estates.

With The 2026 Infrastructure Identity Survey showing broad reliance on static credentials, the transition to zero standing privilege becomes a lifecycle problem as much as an access problem. Teams that can trace secret issuance to retirement will be better positioned to scale identity controls without creating new trust debt.

For practitioners

• Inventory every long-lived credential path Identify passwords, API keys, SSH keys, certificates, and tokens used by humans and workloads across cloud, Kubernetes, and remote access flows. Tag where each secret is stored, how it is issued, and whether it can outlive the session that needs it.
• Separate human and machine access policies Use passwordless and MFA policies for human users, but govern workloads with short-lived credentials, workload identity, and explicit runtime issuance rules. Do not let one policy model stand in for the other.
• Replace embedded secrets with JIT credentials Block hardcoded credentials in pipelines, containers, and configuration files, then issue ephemeral tokens only when the task begins. Align expiry with workload completion so the credential disappears when the work is done.
• Rework privileged remote access around session expiry For Linux and administrative access, issue temporary certificates or tokens that expire at session end and prevent reuse. Tie access approval to the minimum task scope instead of to a standing admin entitlement.
• Govern workload identity lifecycles explicitly Define issuance, renewal, revocation, and offboarding for service accounts, API keys, certificates, and SPIFFE-linked workloads. Treat each as a governed identity with ownership and retirement criteria, not as a technical artifact.

Key takeaways

• Static credentials remain the central weakness in cloud and microservice identity governance because they outlive the access need they were meant to serve.
• Ephemeral tokens, passwordless human access, and secretless machine access change the attack surface by reducing credential persistence and limiting reuse.
• IAM, PAM, and NHI programmes need separate lifecycle controls for people and workloads if they want to make zero standing privilege operational.

Key terms

• Secretless Access: Secretless access is a pattern where workloads authenticate and receive access without relying on long-lived embedded credentials. It typically uses runtime identity verification, federation, and short-lived authorization decisions. The goal is to reduce exposure from hardcoded or reusable secrets while keeping machine-to-machine access functional.
• Ephemeral Credentials: Ephemeral credentials are short-lived access artefacts issued for a limited task or session. They reduce the window for abuse, but they only improve security when paired with strong scope limits, telemetry, and automatic revocation at task completion.
• Passwordless Authentication: An authentication approach that removes passwords and uses a device-bound cryptographic key plus local user verification. It reduces phishing and replay risk, but it only improves assurance when enrollment, recovery, and revocation are tightly governed.
• Workload Identity: The identity assigned to a software workload — such as a containerised application, serverless function, or microservice — enabling it to authenticate to other services without storing static credentials.

What's in the full article

Akeyless' full article covers the operational detail this post intentionally leaves for the source:

• Step-by-step access flows for PostgreSQL, MySQL, Linux, and Kubernetes environments
• Examples of ephemeral token use for services, pods, and remote administrative sessions
• How SPIFFE integration is positioned for workload identity and secret handling
• The article's own breakdown of secretless versus passwordless use cases across human and machine identities

👉 The full Akeyless article covers remote access, Kubernetes identity, and SPIFFE integration in more implementation detail.

Deepen your knowledge

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