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Workload Identity Practices
draft-ietf-wimse-workload-identity-practices-03

Document Type Active Internet-Draft (wimse WG)
Authors Arndt Schwenkschuster , Yaroslav Rosomakho
Last updated 2025-10-17
Replaces draft-ietf-wimse-workload-identity-bcp
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draft-ietf-wimse-workload-identity-practices-03
Workload Identity in Multi System Environments        A. Schwenkschuster
Internet-Draft                                                     SPIRL
Intended status: Informational                              Y. Rosomakho
Expires: 20 April 2026                                           Zscaler
                                                         17 October 2025

                      Workload Identity Practices
            draft-ietf-wimse-workload-identity-practices-03

Abstract

   This document describes industry practices for providing secure
   identities to workloads in container orchestration, cloud platforms,
   and other workload platforms.  It explains how workloads obtain
   credentials for external authentication purposes, without managing
   long-lived secrets directly.  It does not take into account the
   standards work in progress for the WIMSE architecture
   [I-D.ietf-wimse-arch] and other protocols, such as
   [I-D.ietf-wimse-s2s-protocol].

Status of This Memo

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

   Internet-Drafts are working documents of the Internet Engineering
   Task Force (IETF).  Note that other groups may also distribute
   working documents as Internet-Drafts.  The list of current Internet-
   Drafts is at https://datatracker.ietf.org/drafts/current/.

   Internet-Drafts are draft documents valid for a maximum of six months
   and may be updated, replaced, or obsoleted by other documents at any
   time.  It is inappropriate to use Internet-Drafts as reference
   material or to cite them other than as "work in progress."

   This Internet-Draft will expire on 20 April 2026.

Copyright Notice

   Copyright (c) 2025 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

   This document is subject to BCP 78 and the IETF Trust's Legal
   Provisions Relating to IETF Documents (https://trustee.ietf.org/
   license-info) in effect on the date of publication of this document.
   Please review these documents carefully, as they describe your rights
   and restrictions with respect to this document.  Code Components

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   extracted from this document must include Revised BSD License text as
   described in Section 4.e of the Trust Legal Provisions and are
   provided without warranty as described in the Revised BSD License.

Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   3
   2.  Terminology . . . . . . . . . . . . . . . . . . . . . . . . .   5
   3.  Delivery Patterns . . . . . . . . . . . . . . . . . . . . . .   5
     3.1.  Environment Variables . . . . . . . . . . . . . . . . . .   5
     3.2.  Filesystem  . . . . . . . . . . . . . . . . . . . . . . .   5
     3.3.  Local APIs  . . . . . . . . . . . . . . . . . . . . . . .   6
   4.  Practices . . . . . . . . . . . . . . . . . . . . . . . . . .   6
     4.1.  Kubernetes  . . . . . . . . . . . . . . . . . . . . . . .   6
     4.2.  Secure Production Identity Framework For Everyone
           (SPIFFE)  . . . . . . . . . . . . . . . . . . . . . . . .  10
     4.3.  Cloud Providers . . . . . . . . . . . . . . . . . . . . .  12
     4.4.  Continuous Integration and Deployment Systems . . . . . .  14
     4.5.  Service Meshes  . . . . . . . . . . . . . . . . . . . . .  15
   5.  Security Considerations . . . . . . . . . . . . . . . . . . .  16
     5.1.  Credential Delivery . . . . . . . . . . . . . . . . . . .  16
       5.1.1.  Environment Variables . . . . . . . . . . . . . . . .  16
       5.1.2.  Filesystem  . . . . . . . . . . . . . . . . . . . . .  16
       5.1.3.  Local APIs  . . . . . . . . . . . . . . . . . . . . .  17
     5.2.  Token typing  . . . . . . . . . . . . . . . . . . . . . .  17
     5.3.  Custom claims are important for context . . . . . . . . .  17
     5.4.  Token lifetime  . . . . . . . . . . . . . . . . . . . . .  18
     5.5.  Workload lifecycle and invalidation . . . . . . . . . . .  18
     5.6.  Proof of possession . . . . . . . . . . . . . . . . . . .  18
     5.7.  Audience  . . . . . . . . . . . . . . . . . . . . . . . .  18
     5.8.  Multi-Tenancy Considerations  . . . . . . . . . . . . . .  19
   6.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  19
   7.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  19
   8.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  19
     8.1.  Normative References  . . . . . . . . . . . . . . . . . .  19
     8.2.  Informative References  . . . . . . . . . . . . . . . . .  20
   Appendix A.  Variations . . . . . . . . . . . . . . . . . . . . .  21
     A.1.  Direct access to protected resources  . . . . . . . . . .  22
     A.2.  Custom assertion flows  . . . . . . . . . . . . . . . . .  22
   Appendix B.  Document History . . . . . . . . . . . . . . . . . .  22
   Contributors  . . . . . . . . . . . . . . . . . . . . . . . . . .  24
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  24

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1.  Introduction

   Just like people, the workloads inside container orchestration
   systems (e.g., Kubernetes) need identities to authenticate with other
   systems, such as databases, web servers, or other workloads.  The
   challenge for workloads is to obtain a credential that can be used to
   authenticate with these resources without managing secrets directly,
   for instance, an OAuth 2.0 access token.

   The common use of the OAuth 2.0 framework [RFC6749] in this context
   poses challenges, particularly in managing credentials.  To address
   this, the industry has shifted to a federation-based approach where
   credentials of the underlying workload platform are used to
   authenticate to other identity providers, which in turn, issue
   credentials that grant access to resources.

   Traditionally, workloads were provisioned with client credentials and
   used for example the corresponding client credential flow
   (Section 1.3.4 [RFC6749]) to retrieve an OAuth 2.0 access token.
   This model presents a number of security and maintenance issues.
   Secret materials must be provisioned and rotated, which requires
   either automation to be built, or periodic manual effort.  Secret
   materials can be stolen and used by attackers to impersonate the
   workload.  Other, non OAuth 2.0 flows, such as direct API keys or
   other secrets, suffer from the same issues.

   Instead of provisioning secret material to the workload, one solution
   to this problem is to attest the workload by using its underlying
   platform.  Many platforms provision workloads with a credential, such
   as a JWT ([RFC7519]).  Cryptographically signed by the platform's
   issuer, this credential attests the workload and its attributes.

   Figure 1 illustrates a generic pattern that is seen across many
   workload platforms, more concrete variations are found in Section 4.

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        +----------------------------------------------------------+
        |                                        Workload Platform |
        | +-----------------+                 +------------------+ |
        | |                 |                 |                  | |
        | |    Workload     |<--------------->|  Platform Issuer | |
        | |                 |  1) push/pull   |                  | |
        | +-----+-+------+--+     credentials +------------------+ |
        |       | |      |                                         |
        |       | |      |                                         |
        |       | |      |                        +--------------+ |
        |       | |      |    A) access           |              | |
        |       | |      +----------------------->|   Resource   | |
        |       | |                               |              | |
        |       | |                               +--------------+ |
        +-------+-+------------------------------------------------+
                | |
                | |                               +--------------+
   B1) federate | |  B2) access                   |              |
                | +------------------------------>|   Resource   |
                v                                 |              |
          +-------------------+                   +--------------+
          |                   |
          | Identity Provider |
          |                   |
          +-------------------+

                Figure 1: Generic workload identity pattern

   The figure outlines the following steps which are applicable in any
   pattern.

   *  1) Platform issues credential to workload.  The way this is
      achieved varies by platform, for instance, it can be pushed to the
      workload or pulled by the workload.

   *  A) The credential can give the workload direct access to resources
      within the platform or the platform itself (e.g., to perform
      infrastructure operations)

   *  B1) The workload uses the credential to federate to an Identity
      Provider.  This step is optional and only needed when accessing
      outside resources.

   *  B2) The workload accesses resources outside of the platform and
      uses the federated identity obtained in the previous step.

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   Accessing different outside resources may require the workload to
   repeat steps B1) and B2), federating to multiple Identity Providers.
   It is also possible that step 1) needs to be repeated, for instance
   in situations where the platform-issued credential is scoped to
   accessing a certain resource or federating to a specific Identity
   Provider.

2.  Terminology

   The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
   "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and
   "OPTIONAL" in this document are to be interpreted as described in BCP
   14 [RFC2119] [RFC8174] when, and only when, they appear in all
   capitals, as shown here.

3.  Delivery Patterns

   Credentials can be provisioned to the workload by different
   mechanisms, each of which has its own advantages, challenges, and
   security risks.  The following section highlights the pros and cons
   of common solutions.  Security recommendations for these methods are
   covered in Section 5.1.

3.1.  Environment Variables

   Injecting the credentials into the environment variables allows for
   simple and fast deployments.  Applications can directly access them
   through system-level mechanisms, e.g., through the env command in
   Linux.  Note that environment variables are static in nature in that
   they cannot be changed after application initialization.

3.2.  Filesystem

   Filesystem delivery allows both container secret injection and access
   control.  Many solutions find the main benefit in the asynchronous
   provisioning of the credentials to the workload.  This allows the
   workload to run independently of the credentials update, and to
   access them by reading the file.

   Credential rotation requires a solution to detect soon-to-expire
   secrets as a rotation trigger.  One practice is that the new secret
   is renewed _before_ the old secret is invalidated.  For example, the
   solution can choose to update the secret an hour before it is
   invalidated.  This gives applications time to update without
   downtime.

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   Because credentials are written to a shared filesystem, the solution
   is responsible for ensuring atomicity when updating them.  Writes
   SHOULD be performed in a way that prevents workloads from observing a
   partially written file (for example by writing to a temporary file
   and renaming it atomically).  Solutions SHOULD also perform a flush
   operation immediately after the update to minimize the chance of race
   conditions and ensure durability.

3.3.  Local APIs

   In this pattern, the workload obtains credentials by communicating
   with a local API exposed by the credential issuer.  Implementations
   commonly use UNIX domain sockets (e.g., SPIFFE), loopback interfaces,
   or link-local "magic addresses" 169.254.169.254 commonly used for
   cloud provider Instance Metadata Services as the transport mechanism.

   Local APIs support re-provisioning of updated credentials, either on
   demand or through persistent connections that enable the issuer to
   push new credentials.  This enables the use of short-lived, narrowly
   scoped credentials, improving security posture compared to long-lived
   secrets.

   The security of this approach relies heavily on network isolation to
   prevent unauthorised access to the local API.  In addition, the
   pattern requires client-side code, which may introduce portability
   challenges.  The request–response paradigm can also increase latency,
   particularly when communication goes over the network.

4.  Practices

   The following practices outline more concrete examples of platforms,
   including their delivery patterns.

4.1.  Kubernetes

   In Kubernetes, machine identity is implemented through "service
   accounts" [KubernetesServiceAccount].  Service accounts can be
   explicitly created, or a default one is automatically assigned.
   Service accounts use JSON Web Tokens (JWTs) [RFC7519] as their
   credential format, with the Kubernetes Control Plane acting as the
   signer.

   Service accounts serve multiple authentication purposes within the
   Kubernetes ecosystem.  They are used to authenticate to Kubernetes
   APIs, between different workloads and to access external resources.
   This latter use case is particularly relevant for the purposes of
   this document.

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   To programmatically use service accounts, workloads can:

   *  Have the token "projected" into the file system of the workload.
      This is similar to volume mounting in non-Kubernetes environments,
      and is commonly referred to as "projected service account token".

   *  Use the Token Request API [TokenRequestV1] of the control plane.
      This option, however, requires an initial projected service
      account token as a means of authentication.

   Both options allow workloads to:

   *  Specify a custom audience.  Possible audiences can be restricted
      based on policy.

   *  Specify a custom lifetime.  Maximum lifetime can be restricted by
      policy.

   *  Bind the token lifetime to an object lifecycle.  This allows the
      token to be invalidated when the object is deleted.  For example,
      this may happen when a Kubernetes Deployment is removed from the
      server.  Note that invalidation is only detected when the Token
      Review API [TokenReviewV1] of Kubernetes is used to validate the
      token.

   To validate service account tokens, Kubernetes allows workloads to:

   *  Make use of the Token Review API [TokenReviewV1].  This API
      introspects the token, makes sure it hasn't been invalidated and
      returns the claims.

   *  Mount the public keys used to sign the tokens into the file system
      of the workload.  This allows workloads to validate a token's
      signature without calling the Token Review API.

   *  Optionally, a JSON Web Key Set [RFC7517] is exposed via a web
      server.  This allows the Service Account Token to be validated
      outside of the cluster and access to the actual Kubernetes Control
      Plane API.

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            +-------------------------------------------------+
            |                                     Kubernetes  |
            |                      +--------------+           |
            |        A1) access    |              |           |
            |      +-------------->|  API Server  |           |
            |      |               |              |           |
            |      |               +--------------+           |
            | +----+----+                  ^ 1) request token |
            | |         | 2) schedule +----+----+             |
            | |   Pod   |<------------+ Kubelet |             |
            | |         |             +---------+             |
            | +-+-+---+-+                                     |
            |   | |   |                      +--------------+ |
            |   | |   |   B1) access         |              | |
            |   | |   +--------------------->|   Resource   | |
            |   | |                          |              | |
            |   | |                          +--------------+ |
            |   | |                                           |
            +---+-+-------------------------------------------+
                | |
                | |                          +--------------+
   C1) federate | | C2) access               |              |
                | +------------------------->|   Resource   |
                v                            |              |
              +---------------------+        +--------------+
              |                     |
              |  Identity Provider  |
              |                     |
              +---------------------+

             Figure 2: Kubernetes workload identity in practice

   The steps shown in Figure 2 are:

   *  1) The kubelet is tasked to schedule a Pod. Based on
      configuration, it requests a Service Account Token from the
      Kubernetes API server.

   *  2) The kubelet starts the Pod and, based on the configuration of
      the Pod, delivers the token to the containers within the Pod.

   Now, the Pod can use the token to:

   *  A) Access the Kubernetes Control Plane, considering it has access
      to it.

   *  B) Access other resources within the cluster, for instance, other
      Pods.

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   *  C) Access resources outside of the cluster:

      -  C1) The application within the Pod uses the Service Account
         Token to federate to an Identity Provider outside of the
         Kubernetes Cluster.

      -  C2) Using the federated identity, the application within the
         Pod accesses resources outside of the cluster.

   As an example, the following JSON illustrates the claims contained in
   a Kubernetes Service Account token.

   {
     "aud": [  # matches the requested audiences, or the API server's default audiences when none are explicitly requested
       "https://kubernetes.default.svc"
     ],
     "exp": 1731613413,
     "iat": 1700077413,
     "iss": "https://kubernetes.default.svc",  # matches the first value passed to the --service-account-issuer flag
     "jti": "ea28ed49-2e11-4280-9ec5-bc3d1d84661a",  # ServiceAccountTokenJTI feature must be enabled for the claim to be present
     "kubernetes.io": {
       "namespace": "my-namespace",
       "node": {  # ServiceAccountTokenPodNodeInfo feature must be enabled for the API server to add this node reference claim
         "name": "127.0.0.1",
         "uid": "58456cb0-dd00-45ed-b797-5578fdceaced"
       },
       "pod": {
         "name": "my-workload-69cbfb9798-jv9gn",
         "uid": "778a530c-b3f4-47c0-9cd5-ab018fb64f33"
       },
       "serviceaccount": {
         "name": "my-workload",
         "uid": "a087d5a0-e1dd-43ec-93ac-f13d89cd13af"
       },
       "warnafter": 1700081020
     },
     "nbf": 1700077413,
     "sub": "system:serviceaccount:my-namespace:my-workload"
   }

         Figure 3: Example Kubernetes Service Account Token claims

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4.2.  Secure Production Identity Framework For Everyone (SPIFFE)

   The Secure Production Identity Framework For Everyone, also known as
   SPIFFE [SPIFFE], is a Cloud Native Computing Foundation (CNCF)
   project that defines a "Workload API" to deliver machine identity to
   workloads.  Workloads can retrieve either X.509 certificates or JWTs.
   The Workload API does not require clients to authenticate themselves.
   Instead, implementation collect identifying information of the
   workload from the environment, such as the workload platform or the
   operating system.

   SPIFFE refers to the JWT-formatted credential as a "JWT-SVID" (JWT -
   SPIFFE Verifiable Identity Document) and the X509-formatted
   credential as "X509-SVID".

   Workloads are required to specify at least one audience when
   requesting a JWT-SVID from the Workload API.

   For validation, SPIFFE offers:

   *  A set of public keys encoded in JWK format [RFC7517] retrieved
      from the Workload API that can be used to validate signatures.  In
      SPIFFE this is referred to as the "trust bundle".

   *  An endpoint where the public keys used for signing are published
      in JWK format [RFC7517].  See SPIFFE Bundle Endpoint at [SPIFFE].

   The following figure illustrates how a workload can use its JWT-SVID
   to access a protected resource outside of SPIFFE:

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         +--------------------------------------------------------+
         |                                    SPIFFE Trust Domain |
         |                                                        |
         | +--------------+  1) Get JWT-SVID    +--------------+  |
         | |              +-------------------->|    SPIFFE    |  |
         | |   Workload   |                     | Workload API |  |
         | |              |                     +--------------+  |
         | +----+-+----+--+                                       |
         |      | |    |                        +--------------+  |
         |      | |    |     A) access          |              |  |
         |      | |    +----------------------->|   Resource   |  |
         |      | |                             |              |  |
         |      | |                             +--------------+  |
         +------+-+-----------------------------------------------+
                | |
                | |                             +--------------+
   B1) federate | | B2) access                  |              |
                | +---------------------------->|   Resource   |
                v                               |              |
          +---------------------+               +--------------+
          |                     |
          |  Identity Provider  |
          |                     |
          +---------------------+

                   Figure 4: Workload identity in SPIFFE

   The steps shown in Figure 4 are:

   *  1) The workload requests a JWT-SVID from the SPIFFE Workload API.

   *  A) The JWT-SVID can be used to directly access resources or other
      workloads within the same SPIFFE Trust Domain.

   *  B1) To access resources protected by other Identity Providers, the
      workload uses the SPIFFE JWT-SVID to federate to the Identity
      Provider.

   *  B2) Once federated, the workload can access resources outside of
      its trust domain.

   Here are example claims for a JWT-SVID:

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   {
     "aud": [
       "external-authorization-server"
     ],
     "exp": 1729087175,
     "iat": 1729086875,
     "sub": "spiffe://example.org/myservice"
   }

4.3.  Cloud Providers

   Workloads in cloud platforms can have any shape or form.
   Historically, virtual machines were the most common.  The
   introduction of containerization brought hosted container
   environments or Kubernetes clusters.  Containers have evolved into
   serverless offerings.  Regardless of the actual workload packaging,
   distribution, or runtime platform, all these workloads need
   identities.

   The biggest cloud providers have established the pattern of an
   "Instance Metadata Endpoint".  Aside from allowing workloads to
   retrieve metadata about themselves, it also allows them to receive
   identity.  The credential types offered can vary.  JWT, however, is
   the one that is common across all of them.  The issued credential
   provides proof to anyone it is being presented to that the workload
   platform has attested the workload and it can be considered
   authenticated.

   Within a cloud provider, the issued credential can often directly be
   used to access resources of any kind across the platform, making
   integration between the services straightforward.  From the workload
   perspective, no credential needs to be issued, provisioned, rotated
   or revoked, as everything is handled internally by the platform.

   This is not true for resources outside of the platform, such as on-
   premise resources, generic web servers or other cloud provider
   resources.  Here, the workload first needs to federate to the Secure
   Token Service (STS) of the respective cloud, which is effectively an
   Identity Provider.  The STS issues a new credential with which the
   workload can then access resources.

   This pattern also applies when accessing resources in the same cloud
   but across different security boundaries (e.g., different account or
   tenant).  The actual flows and implementations may vary in these
   situations though.

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       +----------------------------------------------------------+
       |                                                    Cloud |
       |                                                          |
       |                                   +-------------------+  |
       |  +--------------+ 1) get identity |                   |  |
       |  |              +---------------->| Instance Metadata |  |
       |  |   Workload   |                 |  Service/Endpoint |  |
       |  |              |                 |                   |  |
       |  +-----+-+----+-+                 +-------------------+  |
       |        | |    |                                          |
       |        | |    |                        +--------------+  |
       |        | |    |     A) access          |              |  |
       |        | |    +----------------------->|   Resource   |  |
       |        | |                             |              |  |
       |        | |                             +--------------+  |
       +--------+-+-----------------------------------------------+
                | |
   B1) federate | | B2) access
                | |
       +--------+-+-----------------------------------------------+
       |        | |                   External (e.g. other cloud) |
       |        | |                                               |
       |        | |                             +--------------+  |
       |        | |                             |              |  |
       |        | +---------------------------->|   Resource   |  |
       |        v                               |              |  |
       |  +-----------------------------+       +--------------+  |
       |  |                             |                         |
       |  |  Secure Token Service (STS) |                         |
       |  |                             |                         |
       |  +-----------------------------+                         |
       +----------------------------------------------------------+

              Figure 5: Workload identity in a cloud provider

   The steps shown in Figure 5 are:

   *  1) The workload retrieves an identity from the Instance Metadata
      Service or Endpoint.  This endpoint exposes an API and is
      available at a well- known, but local-only location such as
      169.254.169.254.

   When the workload needs to access a resource within the cloud (e.g.,
   located in the same security boundary; protected by the same issuer
   as the workload identity):

   *  A) The workload directly accesses the protected resource with the
      credential issued in Step 1.

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   When the workload needs to access a resource outside of the cloud
   (e.g., different cloud; same cloud, but different security boundary):

   *  B1) The workload uses the cloud-issued credential to federate to
      the Secure Token Service of the other cloud/account.

   *  B2) Using the federated identity, the workload can access the
      resource outside, assuming the federated identity has the
      necessary permissions.

4.4.  Continuous Integration and Deployment Systems

   Continuous integration and deployment (CI-CD) systems allow their
   pipelines (or workflows) to receive an identity at runtime.  It is a
   common task to upload build outputs and other artifacts to external
   resources.  For this, federation to external Identity Providers is
   often necessary.

       +-------------------------------------------------+
       |    Continuous Integration / Deployment Platform |
       |                                                 |
       | +-----------------+             +------------+  |
       | |                 | 1) schedule |            |  |
       | |  Pipeline/Task  |<------------+  Platform  |  |
       | |   (Workload)    |             |            |  |
       | |                 |             +------------+  |
       | +-----+-+---------+                             |
       +-------+-+---------------------------------------+
               | |
               | |                     +--------------+
   2) federate | | 3) access           |              |
               | +-------------------->|   Resource   |
               v                       |              |
         +-------------------+         +--------------+
         |                   |
         | Identity Provider |
         |                   |
         +-------------------+

        Figure 6: OAuth2 Assertion Flow in a continuous integration/
                           deployment environment

   The steps shown in Figure 6 are:

   *  1) The CI-CD platform schedules a workload (pipeline or task).
      Based on configuration, a Workload Identity is made available by
      the platform.

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   *  2) The workload uses the identity to federate to an Identity
      Provider.

   *  3) The workload uses the federated identity to access resources.
      For instance, an artifact store to upload compiled binaries, or to
      download libraries needed to resolve dependencies.  It is also
      common to access actual infrastructure as resources to make
      deployments or changes to it.

   While token structure is vendor-specific, all tokens contain claims
   carrying the basic context of the executed tasks, such as source code
   management data such as git branch, initiation context and more.

4.5.  Service Meshes

   Service meshes provide infrastructure-level workload identity and
   secure communication for applications through sidecar proxies
   deployed alongside each workload.  In a service mesh, workload
   identity is typically implemented using X.509 certificates issued by
   the service mesh.  Service meshes handle identity credential
   provisioning to sidecar proxies rather than directly to application
   workloads.  The sidecar intercepts network traffic and handles
   authentication transparently to the application code.

                       +--------------+
                       |              |
               +-------+ Service Mesh +--------+
   1) issue    |       |              |        | 1) issue
      identity |       +--------------+        |    identity
               |                               |
               v       3) communicate          v
         +-----------+    on behalf of   +-----------+
         |           |    workloads      |           |
         |   Proxy   |<=================>|   Proxy   |
         |           |                   |           |
         +-----------+                   +-----------+
               ^                               ^
               | 2) delegate                   | 2) delegate
               |                               |
         +-----+-----+                   +-----+-----+
         |           |                   |           |
         | Workload  |                   | Workload  |
         |           |                   |           |
         +-----------+                   +-----------+

       Figure 7: Simple service mesh communication between 2 workload

   The steps shown in Figure 7 are:

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   *  1) The Service Mesh issues identities in the form of credentials
      to proxies.

   *  2) The proxies act on behalf of workloads that delegate their
      communication to them.  In above figure each workload has its own
      proxy that solely represents it and no other workload.

   *  3) The proxies communicate with each other on behalf of the
      workloads they represent.  This communication includes
      authentication spects, for instance in the form of X.509
      certificates.

   In above pattern each workload has a specific sidecar.  An
   alternative deployment is to share proxies between workloads.  This
   often results in a single proxy on each node acting on behalf of all
   workloads on the node.

5.  Security Considerations

   All security considerations in section 8 of [RFC7521] apply.

5.1.  Credential Delivery

5.1.1.  Environment Variables

   Leveraging environment variables to provide credentials presents many
   security limitations.  Environment variables have a wide set of use
   cases and are observed by many components.  They are often captured
   for monitoring, observability, debugging and logging purposes and
   sent to components outside of the workload.  Access control is not
   trivial and does not achieve the same security results as other
   methods.

   This approach should be limited to non-production cases where
   convenience outweighs security considerations, and the provided
   secrets are limited in validity or utility.  For example, an initial
   secret might be used during the setup of the application.

5.1.2.  Filesystem

   *  1) Access control to the mounted file should be configured to
      limit reads to authorized applications.  Linux supports solutions
      such as DAC (uid and gid) or MAC (e.g., SELinux, AppArmor).

   *  2) Mounted shared memory should be isolated from other host OS
      paths and processes.  For example, on Linux this can be achieved
      by using namespaces.

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5.1.3.  Local APIs

   Local APIs often operate in clear-text such as unencrypted HTTP
   without any confidentiality or integrity protection.  Privileged
   component on the machine or in the infrastructure can be able to
   eyes-drop the connection and the credential within it.

   Mitigating measures are required to mitigate a particular variant of
   Server-Side Request Forgery attacks against local APIs.  For example,
   requiring a specific header that cannot be controlled externally or
   preventing the use of link-local IPs, including through redirects.

   Adequate attestation is required to make sure unauthorized access is
   denied and credentials are not issued to other parties when the Local
   API is unauthenticated.  Introspection of the platform, like in
   SPIFFE or cloud providers, can be used to identify workloads and
   grant access.  The more fine-grained and strict the attestation, the
   smaller the attack surface.  For instance, allowing access by IP or
   other machine-global identifiers permits any process to receive the
   identity, while including user ID or other process-scoped identifiers
   prevents this broader access.

   The potential for denial-of-service attacks against Local APIs need
   to be taken into account and protective measures should be
   implemented.  Depending on the platform these attacks can affect
   other workloads and their ability to receive a platform credential.

5.2.  Token typing

   Issuers SHOULD strongly type the issued tokens to workloads via the
   JOSE typ header and Identity Providers accepting these tokens SHOULD
   validate the value of it according to policy.  See Section 3.1 of
   [RFC8725] for details on explicit typing.

   Issuers SHOULD use authorization-grant+jwt as a typ value according
   to [I-D.ietf-oauth-rfc7523bis].  For broad support, JWT or JOSE MAY
   be used by issuers and accepted by authorization servers but it is
   important to highlight that a wide range of tokens, meant for all
   sorts of purposes, use these values and would be accepted.

5.3.  Custom claims are important for context

   Some platform-issued credentials have custom claims that are vital
   for context and are required to be validated.  For example, in a
   continuous integration and deployment platform where a workload is
   scheduled for a Git repository, the branch is crucial.  A "main"
   branch may be protected and considered trusted to federate to
   external authorization servers.  But other branches may not be

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   allowed to access protected resources.

   Authorization servers that validate assertions SHOULD make use of
   these claims.  Platform issuers SHOULD allow differentiation based on
   the subject claim alone.

5.4.  Token lifetime

   Tokens SHOULD NOT exceed the lifetime of the workloads they
   represent.  For example, a workload that has an expected lifetime of
   one hour should not receive a token valid for two hours or more.

   Within the scope of this document, where a platform-issued credential
   is used to authenticate to retrieve an access token for an external
   authorization domain, short-lived credentials are recommended.

5.5.  Workload lifecycle and invalidation

   Platform issuers SHOULD invalidate tokens when the workload stops,
   pauses, or ceases to exist and SHOULD offer validators a mechanism to
   query this status.  How these credentials are invalidated and the
   status is queried varies and is not in scope of this document.

5.6.  Proof of possession

   Credentials SHOULD be bound to workloads, and proof of possession
   SHOULD be performed when these credentials are used.  This mitigates
   token theft.  This proof of possession applies to both the platform
   credential and the access token of the external authorization
   domains.

5.7.  Audience

   For issued credentials in the form of JWTs, they MUST be audienced
   using the aud claim.  Each JWT SHOULD only carry a single audience.
   We RECOMMEND using URIs to specify audiences.  See Section 3 of
   [RFC8707] for more details and security implications.

   Some workload platforms provide credentials for interacting with
   their own APIs (e.g., Kubernetes).  These credentials MUST NOT be
   used beyond the platform API.  In the example of Kubernetes, a token
   used for anything other than the Kubernetes API itself MUST NOT carry
   the Kubernetes server in the aud claim.

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5.8.  Multi-Tenancy Considerations

   In multi-tenant platforms, relying parties MUST carefully evaluate
   which attributes are considered trustworthy when making authorization
   decisions.  Access or federation MUST NOT be granted based solely on
   untrusted or easily forgeable attributes.  In particular, the issuer
   claim in such environments may not uniquely identify a trusted
   authority, since each tenant could be configured with the same issuer
   identifier.

   Relying parties SHOULD ensure that attributes used for authorization
   are bound to a trust domain under their control or validated by an
   entity with a clearly defined trust boundary.

6.  IANA Considerations

   This document does not require actions by IANA.

7.  Acknowledgements

   The authors and contributors would like to thank the following people
   for their feedback and contributions to this document (in no
   particular order): Dag Sneeggen, Ned Smith, Dean H.  Saxe, Yaron
   Sheffer, Andrii Deinega, Marcel Levy, Justin Richer, Pieter
   Kasselmann, Simon Canning, Evan Gilman and Joseph Salowey.

8.  References

8.1.  Normative References

   [RFC2119]  Bradner, S., "Key words for use in RFCs to Indicate
              Requirement Levels", BCP 14, RFC 2119,
              DOI 10.17487/RFC2119, March 1997,
              <https://www.rfc-editor.org/rfc/rfc2119>.

   [RFC6749]  Hardt, D., Ed., "The OAuth 2.0 Authorization Framework",
              RFC 6749, DOI 10.17487/RFC6749, October 2012,
              <https://www.rfc-editor.org/rfc/rfc6749>.

   [RFC7517]  Jones, M., "JSON Web Key (JWK)", RFC 7517,
              DOI 10.17487/RFC7517, May 2015,
              <https://www.rfc-editor.org/rfc/rfc7517>.

   [RFC7519]  Jones, M., Bradley, J., and N. Sakimura, "JSON Web Token
              (JWT)", RFC 7519, DOI 10.17487/RFC7519, May 2015,
              <https://www.rfc-editor.org/rfc/rfc7519>.

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   [RFC7521]  Campbell, B., Mortimore, C., Jones, M., and Y. Goland,
              "Assertion Framework for OAuth 2.0 Client Authentication
              and Authorization Grants", RFC 7521, DOI 10.17487/RFC7521,
              May 2015, <https://www.rfc-editor.org/rfc/rfc7521>.

   [RFC7523]  Jones, M., Campbell, B., and C. Mortimore, "JSON Web Token
              (JWT) Profile for OAuth 2.0 Client Authentication and
              Authorization Grants", RFC 7523, DOI 10.17487/RFC7523, May
              2015, <https://www.rfc-editor.org/rfc/rfc7523>.

   [RFC8174]  Leiba, B., "Ambiguity of Uppercase vs Lowercase in RFC
              2119 Key Words", BCP 14, RFC 8174, DOI 10.17487/RFC8174,
              May 2017, <https://www.rfc-editor.org/rfc/rfc8174>.

   [RFC8414]  Jones, M., Sakimura, N., and J. Bradley, "OAuth 2.0
              Authorization Server Metadata", RFC 8414,
              DOI 10.17487/RFC8414, June 2018,
              <https://www.rfc-editor.org/rfc/rfc8414>.

   [RFC8693]  Jones, M., Nadalin, A., Campbell, B., Ed., Bradley, J.,
              and C. Mortimore, "OAuth 2.0 Token Exchange", RFC 8693,
              DOI 10.17487/RFC8693, January 2020,
              <https://www.rfc-editor.org/rfc/rfc8693>.

   [RFC8707]  Campbell, B., Bradley, J., and H. Tschofenig, "Resource
              Indicators for OAuth 2.0", RFC 8707, DOI 10.17487/RFC8707,
              February 2020, <https://www.rfc-editor.org/rfc/rfc8707>.

   [RFC8725]  Sheffer, Y., Hardt, D., and M. Jones, "JSON Web Token Best
              Current Practices", BCP 225, RFC 8725,
              DOI 10.17487/RFC8725, February 2020,
              <https://www.rfc-editor.org/rfc/rfc8725>.

8.2.  Informative References

   [I-D.ietf-oauth-rfc7523bis]
              Jones, M. B., Campbell, B., Mortimore, C., and F. Skokan,
              "Updates to OAuth 2.0 JSON Web Token (JWT) Client
              Authentication and Assertion-Based Authorization Grants",
              Work in Progress, Internet-Draft, draft-ietf-oauth-
              rfc7523bis-03, 7 October 2025,
              <https://datatracker.ietf.org/doc/html/draft-ietf-oauth-
              rfc7523bis-03>.

   [I-D.ietf-wimse-arch]
              Salowey, J. A., Rosomakho, Y., and H. Tschofenig,
              "Workload Identity in a Multi System Environment (WIMSE)
              Architecture", Work in Progress, Internet-Draft, draft-

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              ietf-wimse-arch-06, 30 September 2025,
              <https://datatracker.ietf.org/doc/html/draft-ietf-wimse-
              arch-06>.

   [I-D.ietf-wimse-s2s-protocol]
              Campbell, B., Salowey, J. A., Schwenkschuster, A., and Y.
              Sheffer, "WIMSE Workload-to-Workload Authentication", Work
              in Progress, Internet-Draft, draft-ietf-wimse-s2s-
              protocol-07, 16 October 2025,
              <https://datatracker.ietf.org/doc/html/draft-ietf-wimse-
              s2s-protocol-07>.

   [KubernetesServiceAccount]
              "Kubernetes Service Account", May 2024,
              <https://kubernetes.io/docs/concepts/security/service-
              accounts/>.

   [OIDC]     Sakimura, N., Bradley, J., Jones, M., de Medeiros, B., and
              C. Mortimore, "OpenID Connect Core 1.0 incorporating
              errata set 1", November 2014,
              <https://openid.net/specs/openid-connect-core-1_0.html>.

   [OIDCDiscovery]
              Sakimura, N., Bradley, J., Jones, M. and Jay, E., "OpenID
              Connect Discovery 1.0 incorporating errata set 2",
              December 2023, <https://openid.net/specs/openid-connect-
              discovery-1_0.html>.

   [SPIFFE]   "Secure Production Identity Framework for Everyone
              (SPIFFE)", May 2023,
              <https://github.com/spiffe/spiffe/blob/main/standards/
              SPIFFE.md>.

   [TokenRequestV1]
              "Kubernetes Token Request API V1", August 2024,
              <https://kubernetes.io/docs/reference/kubernetes-api/
              authentication-resources/token-request-v1/>.

   [TokenReviewV1]
              "Kubernetes Token Review API V1", August 2024,
              <https://kubernetes.io/docs/reference/kubernetes-api/
              authentication-resources/token-review-v1/>.

Appendix A.  Variations

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A.1.  Direct access to protected resources

   Resource servers that protect resources may choose to trust multiple
   authorization servers, including the one that issues the platform
   identities.  Instead of using the platform-issued identity to receive
   an access token of a different authorization domain, workloads can
   directly use the platform-issued identity to access a protected
   resource.

   In this case, technically, the protected resource and workload are
   part of the same authorization domain.

A.2.  Custom assertion flows

   While [RFC7521] and [RFC7523] are the proposed standards for this
   pattern, some authorization servers use [RFC8693] or a custom API for
   the issuance of an access token based on existing platform identity
   credentials.  These patterns are not recommended and prevent
   interoperability.

Appendix B.  Document History

   [[ To be removed from the final specification ]]

   -03

   *  Add service-mesh section

   *  Add multi-tenancy considerations

   *  Add atomicity and flushing requirements to filesystem section

   *  Make it clear that invalidation is a matter of querying the status

   *  Rework local api section & security considerations

   *  Refer to RFC7517 in SPIFFE and add clarity on key distribution

   *  Editorial changes

   -02

   *  Updated structure, bringing concrete examples back into the main
      text.

   *  Use more generic "federation" term instead of RFC 7523 specifics.

   *  Overall editorial improvements.

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   *  Fix reference of Kubernetes Token Request API

   *  Prefer the term "document" over "specification".

   *  Update contributor and acknowledgements sections.

   *  Remove section about OIDC as it is too specific to a certain
      implementation.

   *  Rewrite abstract to better reflect the current content of the
      document.

   -01

   *  Add credential delivery mechanisms

   *  Highlight relationship to other WIMSE work

   *  Add details about token typing and relation to OpenID Connect

   *  Add security considerations for audience

   -00

   *  Rename draft with no content changes.

   *  Set Arndt to Editor role.

   *[as draft-wimse-workload-identity-bcp]*

   -02

   *  Move scope from Kubernetes to generic workload identity platform

   *  Add various patterns to appendix

      -  Kubernetes

      -  Cloud providers

      -  SPIFFE

      -  CI/CD

   *  Add some security considerations

   *  Update title

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   -01

   *  Editorial updates

   -00

   *  Adopted by the WIMSE WG

Contributors

   Benedikt Hofmann
   Siemens
   Email: hofmann.benedikt@siemens.com

   Hannes Tschofenig
   Siemens
   Email: hannes.tschofenig@gmx.net

   Edoardo Giordano
   Nokia
   Email: edoardo.giordano@nokia.com

Authors' Addresses

   Arndt Schwenkschuster
   SPIRL
   Email: arndts.ietf@gmail.com

   Yaroslav Rosomakho
   Zscaler
   Email: yrosomakho@zscaler.com

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