Embracing a Secretless Approach with Akeyless

Key Takeaways

• Secretless authentication replaces static API keys, tokens, and certificates for machine identities with dynamic, short-lived credentials generated on demand, closing the gap that passwordless login leaves for non-human identities.
• Humans are moving to passwordless methods (SSO, biometrics); machines need secretless methods, since they cannot present a fingerprint or approve an MFA prompt.
• Standing, long-lived credentials were a factor in real incidents, including the 2021 Colonial Pipeline ransomware attack, which forced a shutdown lasting roughly five to six days and a $4.4 million ransom payment.
• Akeyless applies secretless authentication across databases, Linux servers, and Kubernetes, and integrates with the SPIFFE/SPIRE workload identity standard to extend the same model to AI agents and MCP servers.

Answer Capsule: What Is Secretless Authentication?

Secretless authentication is an approach that lets machines, services, and applications authenticate to systems and each other without ever holding a static, storable secret, such as a hardcoded API key or a long-lived certificate. Instead, a workload proves its identity (through a cloud IAM role, a Kubernetes service account, or a SPIFFE-issued identity document) and receives a short-lived, scoped credential generated on demand, which expires automatically once the task is done. This closes the same standing-access risk for machines that passwordless authentication closes for humans.

• No static secret exists to be stolen, leaked, or hardcoded by mistake.
• Identity is proven through verifiable machine identity, not a shared secret.
• Credentials are ephemeral: created just-in-time, revoked automatically.

Managing usernames and passwords has become an increasing challenge in highly automated, multi-cloud, and microservice environments. From a security standpoint, the core problem is long-lived credentials that can be stolen, hardcoded by mistake, or left active long after anyone remembers they exist.

This is where Akeyless and its secretless approach come in, extending the same standing-credential problem that passwordless login solved for humans to the much larger population of machine and workload identities that cannot use a fingerprint or approve a push notification. This guide covers what secretless authentication actually is, how it compares to passwordless login and traditional secret vaults, real scenarios across databases, servers, and Kubernetes, and how two well-known breaches illustrate exactly what standing credentials cost when they go wrong.

What Is Secretless Authentication?

Secretless authentication lets a machine or workload prove its identity and receive access without ever storing a static, reusable secret anywhere, in code, a config file, or a vault entry that outlives the task it was created for. Instead of a password or API key sitting on disk indefinitely, a workload presents a verifiable identity, a cloud IAM role, a Kubernetes service account token, or a SPIFFE-issued identity document, and receives a short-lived credential scoped to the specific task, generated at the moment it is needed and expired automatically afterward.

This is a meaningfully different model from storing a secret in a vault or an environment variable. A vault protects a secret that still exists and still has to be rotated, tracked, and secured for as long as it is valid. Secretless authentication removes the long-lived secret from the picture entirely, so there is nothing sitting in storage for an attacker to find, whether the vault holding it is compromised or not.

• Ephemerality: credentials exist only for the duration of the task, not indefinitely.
• Zero standing privilege: no credential sits active and unused, waiting to be exploited.

Secretless vs Passwordless vs Secret Vaults

These three terms get used loosely, and the differences matter for choosing the right approach for a given identity type.

• Secret vaults: the traditional model. A static secret, password, API key, or certificate, is stored centrally, encrypted at rest, and retrieved when needed. The secret itself still exists and still has to be rotated and protected for as long as it’s valid.
• Passwordless: built for human identities. Replaces a typed password with biometrics, an SSO session, or a hardware key. It removes password-related risk for the person logging in but doesn’t apply to machine-to-machine authentication.
• Secretless: built for machine and workload identities. No static secret is stored anywhere at all; a workload authenticates via verifiable identity and receives a dynamic, short-lived credential on demand.

	Secrets Stored?	Primary Use	Risk if Compromised
Secret vaults	Yes, encrypted at rest	Storing and retrieving static credentials	The stored secret itself can be exfiltrated and reused until rotated
Passwordless	No typed password, but a device key or biometric factor exists	Human login without a typed password	Device or session compromise; doesn’t cover machine identities
Secretless	No standing secret exists at any point	Machine-to-machine,workload, and AI agent authentication	Narrow: a leaked credential is only valid for its short remaining window

Secretless authentication alone controls what exists to be stolen; it doesn’t by itself define what a workload is allowed to do once authenticated. Pairing secretless issuance with scoped, policy-based authorization, granting exactly the permissions a task needs and nothing more, is what delivers least privilege in practice, not the absence of a static secret on its own.

Key Benefits of Secretless Authentication

• Phishing resistance: there is no static credential for an attacker to phish, since none exists to steal in the first place.
• Reduced secret sprawl: fewer static secrets scattered across code, config files, and CI/CD pipelines to track and rotate.
• Easier compliance: short-lived, logged credential issuance maps cleanly to audit requirements like PCI DSS and SOC 2.
• Faster onboarding: new services authenticate through identity federation rather than provisioning and distributing a new static secret.
• Lower operational overhead: no manual credential rotation schedule to maintain for workloads using dynamic credentials.
• Smaller blast radius: a leaked or intercepted credential is only useful for its remaining, short validity window.

Human vs Machine Identity Management

Human identity management is the more familiar half of this problem: securing employee, contractor, and administrator credentials, classically through passwords paired with MFA. Many organizations have since moved to passwordless authentication (SSO, biometrics), which removes the risk of password theft and reuse for the human side of the equation entirely.

Machine identity management is a different problem. Machine identities, APIs, microservices, AI agents, and other non-human entities, typically authenticate using static API keys, certificates, or tokens, which pose a serious risk if compromised, since a machine can’t approve an MFA push notification the way a human can. Managing these secrets is especially hard in dynamic environments like Kubernetes, where containers are created and destroyed continuously. Akeyless addresses this through secretless authentication, replacing static secrets with dynamic, short-lived credentials generated on demand for the machine side of identity, the same way passwordless addresses it for humans.

Connecting to Remote Databases

Static database credentials are a common target precisely because they tend to be long-lived and widely shared across services. Secretless applications close that gap by removing the standing credential entirely rather than just guarding it more carefully.

When connecting to PostgreSQL or MySQL databases, securing both human and machine identities matters equally. For human administrators and employees, Akeyless supports SSO and MFA integration, so people log in to the cloud database with no password involved, avoiding static credentials and the risk of password-related breaches entirely. For machines, Akeyless issues ephemeral API tokens to backend services and apps that need to reach the database. Rather than long-lived credentials, these are JIT tokens generated dynamically, the secretless equivalent of passwordless login, applied to a machine identity instead of a person.

The flow in practice: a service asserts its identity (a cloud IAM role or Kubernetes service account), Akeyless issues a JIT credential scoped to that specific database connection, and the credential is automatically revoked once the session ends. This pattern supports the audit and access-control expectations behind PCI DSS and SOC 2 without a team having to build that logic themselves.

Accessing Linux Servers

Static SSH keys create the same standing-access problem at server scale: a key copied once tends to outlive its original purpose, gets shared beyond its intended use, and rarely gets rotated on any consistent schedule.

For human administrators, Akeyless generates short-lived SSH certificates instead. Temporary credentials expire at the end of each session, and no long-lived secret is stored anywhere afterward. For automated processes, continuous deployment pipelines or server configuration management, machine identities authenticate via the same secretless model using JIT tokens, granting access to servers only when needed and minimizing the window an exposed credential could be exploited in.

# Example CLI flow for issuing a short-lived SSH credentialakeyless create-ssh-cert-issuer –name /ssh/prod-servers –sign-alg rsa-sha2-256akeyless get-ssh-certificate –cert-issuer-name /ssh/prod-servers –cert-username admin

• Scope SSH certificate issuers to the narrowest set of servers a role actually needs.
• Set the shortest certificate validity window a workflow can tolerate, not a default that outlives most sessions.
• Route every SSH certificate issuance through the same audit log used for database and Kubernetes access, not a separate, disconnected system.

Securing Kubernetes (K8s) Clusters

Static secrets don’t hold up well as a model for managing machine identities in Kubernetes, since containers are created and destroyed far faster than any manual credential-rotation process could track. A secret mounted into a pod that gets rescheduled or replaced within minutes is exactly the kind of standing credential that outlives its usefulness almost immediately.

For microservices, Akeyless provides dynamically generated, short-lived tokens to authenticate components within the cluster, reducing the overhead of managing static credentials that would otherwise need tracking pod by pod. For humans, DevOps teams managing a cluster can enable the K8s authentication mode, which uses a Kubernetes JSON Web Token (JWT) to authenticate the application, a pod, for example. That K8s JWT is never shared with Akeyless or any other third party at any point in the process, except with the Akeyless Gateway itself.

This same secretless framework is what Akeyless’s own SPIRE plugins extend to the SPIFFE workload identity standard: a pod authenticates to the Akeyless Gateway, which validates its identity and issues a JIT token scoped to exactly what that workload needs, with service account token exchange and RBAC governing what happens on either side of that exchange.

Marks & Spencer Ransomware Attack

In April 2025, attackers gained access to Marks & Spencer through social engineering and employee impersonation involving a third party. It was later disclosed that M&S already had dual-factor authentication and password controls in place, but attackers were still able to overcome those authentication controls. Once inside, they moved across interconnected systems, including legacy infrastructure, using Active Directory credential data to compromise additional accounts, elevate privileges, and expand their access across the network.

The impact was substantial. M&S paused online orders from late April into early June, while Click & Collect was not fully restored until August. The retailer initially estimated the incident would reduce operating profit by around £300 million, and later reported £131.3 million in direct recovery, risk-management, and specialist advisory costs.

Akeyless Modern PAM reduces this kind of exposure by replacing standing privileged access with identity-based, just-in-time access that is granted only when needed and automatically expires. Even when an attacker compromises or impersonates a legitimate user, short-lived, policy-bound access can limit the privileges available to inherit and make it harder to move from one system to another using persistent access.

BeyondTrust Breach

In December 2024, attackers exploited a zero-day vulnerability in a third-party application to access an asset in BeyondTrust’s AWS environment, where they obtained an infrastructure API key used by its Remote Support SaaS service. The key could be used to reset local application passwords and access customer instances, and BeyondTrust ultimately identified 17 affected customers, including the U.S. Treasury, where attackers gained remote access to employee workstations and unclassified documents.

The incident shows the risk of a standing machine credential carrying broad administrative authority. Granular, time-bound tokens scoped to a specific customer, resource, and operation would have narrowed the exposure considerably.

For machine identities specifically, JIT tokens replacing long-lived access credentials reduce the same kind of broad, always-available compromise potential.

Akeyless Platform Capabilities Beyond Secretless Authentication

Secretless authentication is one capability within a broader platform, not a standalone product. Akeyless brings the following together under one policy model:

• Secrets Management: centralized storage and management of credentials across cloud and on-prem environments.
• Certificate Lifecycle Management: automated issuance, renewal, and revocation of certificates for both humans and machines.
• Password Management: a secure vault to store and share workforce passwords.
• Data Protection: encryption for data at rest and in flight.
• Universal Secrets Connector: unifies secrets governance across multi-cloud environments without requiring migration.

Since this page was first published, Akeyless has extended the same secretless model to a newer class of machine identity: AI agents and MCP servers. SecretlessAI applies the identical principle described throughout this guide, no embedded secrets, dynamic just-in-time provisioning, verifiable machine identity, to autonomous agents that increasingly access sensitive data, APIs, and internal tools on an organization’s behalf.

Integration with Secretless Frameworks & Standards

Akeyless integrates with the SPIFFE (Secure Production Identity Framework for Everyone) project to extend secretless management to workload identities. Under SPIFFE, a workload’s handling of secrets is deliberately limited. Encryption keys, certificates, and the secrets underneath the framework still require secure management, and that’s exactly the role Akeyless plays: managing the lifecycle of those underlying elements so the SPIFFE framework itself stays scalable and secure.

Framework	Auth Method	Secretless Benefit
SPIFFE/SPIRE	SVIDs (SPIFFE Verifiable Identity Documents), issued via Akeyless SPIRE plugins	Cryptographic workload identity across any cloud, cluster, or on-prem system, no shared secret
Azure Managed Identities	Microsoft Entra ID + RBAC	Azure resources authenticate without storing connection-string passwords
AWS IAM Roles	Cloud-native IAM role assumption	Workloads in AWS authenticate via role, not an embedded static access key

Which framework fits depends on environment: SPIFFE/SPIRE suits heterogeneous, multi-cloud, or on-prem workloads that need one identity model everywhere; Azure Managed Identities and AWS IAM Roles fit workloads that live natively inside those specific clouds and don’t need to federate identity beyond them.

Conclusion: A New Era of Identity Management

The case for moving from static secrets to secretless authentication comes down to three things: fewer standing credentials for an attacker to find, a smaller blast radius when something does leak, and less manual rotation work for the team maintaining it all. Akeyless applies this model across databases, Linux servers, and Kubernetes clusters, extending the same principle that passwordless authentication already proved for humans to the much larger population of machine and workload identities. To see how this applies to your own environment, explore a demo or the deeper technical guide linked throughout this piece.

Frequently Asked Questions

What Is Secretless Authentication?

Secretless authentication lets machines and workloads authenticate without ever storing a static, reusable secret. A workload proves its identity through a verifiable mechanism (a cloud IAM role, a Kubernetes service account, a SPIFFE identity document) and receives a short-lived credential generated on demand, which expires automatically rather than persisting indefinitely.

How Is Secretless Authorization Different?

Secretless authentication answers whether a workload is who it claims to be, without a stored secret proving it. Secretless authorization answers what that already-authenticated workload is allowed to do, and for how long. The two work together: authentication removes the standing secret, authorization scopes the resulting access to exactly what the task requires, which is what actually delivers least privilege in practice.

Can I Retrofit Legacy Applications for Secretless Access?

In many cases, yes, though the path depends on the application. Legacy apps that can authenticate via a supported identity source (a cloud IAM role, a certificate, or an LDAP/S credential) can adopt secretless access without a rewrite. Applications hardwired to expect a static connection string or API key typically need a thin adapter layer or a configuration change to request a dynamic credential instead, which is usually less invasive than a full application rewrite.

Does Secretless Authentication Work in Multi-Cloud Environments?

Yes. Akeyless’s approach is built to work across AWS, Azure, GCP, Kubernetes, and on-premises systems from a single control plane, and its workload identity federation capability is specifically designed so identity works consistently regardless of which cloud a given workload runs in, rather than requiring a separate secretless implementation per provider.

How Does Akeyless Integrate With Secretless Frameworks Like SPIFFE?

Akeyless acts as a SPIFFE-compliant workload attestation authority through its SPIRE plugins, issuing short-lived, cryptographically verifiable SVIDs (SPIFFE Verifiable Identity Documents) to workloads. It can act as the key manager generating signing keys for those SVIDs, the secret manager storing issued X.509-SVIDs, or the upstream authority handling PKI issuance for the SPIRE server itself, depending on which plugin a given deployment uses.