Secure Configuration Management for IDEMIA with Dedicated Team Support

IDEMIA needed a secure and structured way to store and use sensitive configuration parameters required by applications and infrastructure.

The key challenge was to reduce the risk of unauthorized access to sensitive data while maintaining automation of deployment processes and convenience for DevOps teams.

The solution had to integrate with the existing Infrastructure as Code and GitOps approach, including tools such as Terraform, ArgoCD, Helm, and Kubernetes.

Edge One Solutions supported IDEMIA by providing IT specialists responsible for preparing a mechanism for secure management of confidential application and infrastructure configuration.

The scope of support included the use of SOPS and AWS KMS for encryption and controlled decryption of parameters required by application environments.

The team also supported integration with Terraform, ArgoCD, helm-secrets, Helm, and Kubernetes, enabling sensitive values to be safely used in deployment processes.

The project implemented an approach based on encrypting sensitive configuration parameters with SOPS and managing access to encryption keys through AWS KMS.

Thanks to integration with Terraform and ArgoCD / helm-secrets, values could be automatically decrypted in a controlled process and passed to application and infrastructure configuration.

This approach combined protection of sensitive data with DevOps automation, without the need to manually manage confidential parameters during deployment.

In cloud and containerized environments, sensitive parameters are used across multiple layers: application configuration, infrastructure, deployment processes, and integrations between services.

The IDEMIA project shows how combining tools such as SOPS, AWS KMS, Terraform, and ArgoCD can improve the security of working with sensitive data without giving up DevOps automation.

For organizations using GitOps or Infrastructure as Code, a similar approach can reduce the risk of exposing confidential parameters, structure the configuration process, and increase control over access to values used by applications.