More than Human: Workload Identities in IAM

When you hear the word “identity”, you probably think of a person logging into an app or website. But in reality, many changes are happening in the identity and access management (IAM) space, identities are no longer limited to humans. Machines, services, APIs, and devices — collectively known as workloads — also require identities to function securely and reliably in our digital ecosystems.

These workloads span everything from backend systems, through CI/CD pipelines, observability platforms and API gateways to frontend applications, mobile clients, IoT devices and B2B integrations. Wherever these services interact, connections need to be secure. Traditional approaches such as API keys fall short in this environment: they’re hard to rotate, prone to leakage and lack the context-aware verification needed to protect sensitive business data.

Enter workload or non-human identities — a foundational element in securing service-to-service communication and applying zero trust principles beyond the user layer.

What Are Workload Identities?

Workload identities are verifiable identities assigned to non-human entities such as services and applications. Their purpose is to enable:

• Strong Authentication: Ensuring the identity of calling workloads.
• Granular Authorization: Enforcing precise access controls between services.
• Operational Scalability: Automating credential lifecycle management.

These identities are based on trusted credentials, cryptographic keys and attestation mechanisms, allowing systems to authenticate workloads just as reliably as they do human users — only without the need for manual secrets.

How Workload Identities Work

A workload identity is typically represented by:

• Workload Identifier — a unique identifier of the workload
• Workload Credential — a secure document that allows the identity to authenticate itself. Credentials can come in different forms, like certificates or JWTs.
• Private Key (optional)

Platforms like Kubernetes or cloud providers issue these credentials after attesting the workload’s identity and environment. The credentials are rotated automatically, which helps minimize the risk of human error and reduces attack surfaces.

This setup lets services stay secure without the need for any manual credential management or hardcoded secrets. This is especially important when systems change and grow. Authentication is also more secure, as usually strong asymmetric cryptography is used.

Managing Workload Identities in IAM

To manage workload identities effectively as part of an IAM strategy, three capabilities must be present:

1. Unique Identification
   Systems must be able to reliably assert the identity of every workload, to enable trust and authorization boundaries.
2. Verifiable, Short-Lived Credentials
   Credentials such as JWTs or x.509 certificates should be tightly bound to the identity and issued by trusted systems. They enable cryptographic proof of ownership and, ideally, should be short-lived.
3. Platform-Based Issuance and Rotation
   Modern platforms automate the issuance and renewal of workload credentials. This not only eliminates manual secret handling but also ensures security hygiene at scale.

Standards and frameworks like SPIFFE/SPIRE and WIMSE support interoperability and provide best practices. SPIRE, for instance, works in Kubernetes and traditional data centers alike to issue standardized workload credentials.

Authorization Matters

Authentication alone doesn’t protect APIs. Authorization is essential to ensure that authenticated identities only access what they’re permitted to.

Workload identities authenticate services, but they don’t convey user-level claims. When a workload is acting on behalf of a user — for instance, fetching data from an API — you still need a way to reflect that user’s permissions. That’s where OAuth comes in.

A secure, layered approach might include:

• The service authenticates using its workload identity.
• It receives an OAuth access token that contains the attributes of both the workload and the user.
• The API enforces access rules based on both sets of attributes.

The Curity Identity Server supports this flow, enabling policy enforcement at a more granular level and reducing the blast radius of compromised tokens.

Limitations and Considerations

While powerful, workload identities are not a silver bullet. They:

• Do not identify human users.
• Do not replace business-level authorization or user consent flows.
• Must be paired with application-level authorization policies.

For zero trust API architectures, workload identities should be used in combination with robust access control mechanisms and industry-standard protocols like OAuth.

Conclusion

All workloads need secure identities to establish safe connections — whether backend services like APIs, or frontend applications, like mobile apps or IoT devices. Workload identities provide a way for these workloads to add the missing layer to traditional IAM that deals only with human users. They reduce reliance on static, hard-coded secrets, and instead allow applications to work with dynamic, short-lived, automatically managed, and cryptographically strong credentials. They allow for implementing more fine-grained authorization policies to align with zero-trust principles. Workload identities become an essential part of a modern secure system.

Learn more about workload identities and their role in hardening data security in this webinar.