Trust Models for Machine Identities in Multi-Tenant Systems

workload identity machine identity trust models
Lalit Choda

Lalit Choda

May 20, 2025 3 min read

Workload Identity Trust Models in Multi-Tenant Environments

In today's tech landscape, organizations often use multi-tenant environments, where multiple customers share the same infrastructure. This creates a unique challenge when it comes to managing identities, especially non-human identities such as workloads and machine identities. Let’s dive into what workload identity trust models are and how they function in these shared environments.

What is Workload Identity?

Workload identity refers to the digital identity assigned to an application or service that runs in a cloud environment. This identity is crucial for enabling secure interactions between different services and resources. In multi-tenant environments, ensuring that each workload can authenticate and authorize itself without compromising the security of other tenants is essential.

Trust Models in Workload Identity

A trust model outlines how identities are verified and trusted within a system. In multi-tenant environments, several trust models can be adopted:

  1. Federated Trust Model
    In this model, workloads can authenticate using external identity providers. This allows workloads from different tenants to securely access shared resources without having to manage separate credentials.

    Example: Google Cloud’s Identity-Aware Proxy allows workloads to authenticate using OAuth tokens issued by external identity providers.

  2. Hierarchical Trust Model
    This model establishes a chain of trust where each tenant can trust the identity of the workloads in other tenants based on a central authority. The central authority manages the identities and their relationships.

    Example: AWS Organizations allows accounts to be grouped and share access policies, creating a hierarchy of trust.

  3. Mutual Trust Model
    Here, workloads from different tenants must authenticate each other before any interaction. This is more secure but can lead to performance overhead due to multiple authentication steps.

    Example: In Kubernetes, mutual TLS can be used to ensure that services authenticate each other before communication.

Comparing Trust Models

Trust Model Pros Cons
Federated Simple integration with external IdPs Reliance on external services
Hierarchical Centralized management Complexity in establishing trust chains
Mutual High security Performance overhead

Categories of Workload Identity

  • Static Identity: This type of identity is fixed and does not change, making it easy to manage but less flexible.
  • Dynamic Identity: These identities are created and destroyed based on workload requirements, providing flexibility but requiring more robust security measures.

Real-Life Scenario

Imagine a cloud service provider hosting multiple applications for different clients. Each application interacts with a shared database. Using the Federated Trust Model, each application can authenticate using the client’s identity provider, ensuring security while allowing easy access to shared resources. Meanwhile, the Hierarchical Trust Model can be utilized to enforce policies that restrict access based on the tenant’s hierarchy.

Visualizing the Process

To better understand how these models interact, here’s a flowchart illustrating the authentication process in a multi-tenant environment:

flowchart TD A[Client Application] -->|Authenticates via| B[Identity Provider] B -->|Issues Token| C[Workload Identity] C -->|Accesses| D[Shared Resource] D -->|Returns Data| C

In summary, understanding the various workload identity trust models is crucial for maintaining security in multi-tenant environments. Each model has its strengths and weaknesses, and the choice often depends on the specific requirements and constraints of the organization.

Lalit Choda

Lalit Choda

NHI Evangelist : with 25+ years of experience, Lalit Choda is a pioneering figure in Non-Human Identity (NHI) Risk Management and the Founder & CEO of NHI Mgmt Group. His expertise in identity security, risk mitigation, and strategic consulting has helped global financial institutions to build resilient and scalable systems.

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