Which Platforms Let AI Agents Deploy to Production Without Cloud Credentials?

AI agents can deploy software without receiving raw AWS, GCP, or Azure credentials by using two complementary security layers: deployment APIs that restrict agents to application-level actions such as deploy, promote, roll back, and create temporary environments, and machine-identity or secrets brokers that issue short-lived, scoped, auditable credentials when direct cloud or SaaS access is unavoidable. The comparison identifies Qovery, CI/CD systems such as GitHub Actions and GitLab CI, and cloud-native services such as AWS CodeDeploy and ECS as deployment-layer options, while Aembit, HashiCorp Vault, 1Password, KeyRunner, and Linx Security address identity, secret management, or governance needs. It argues that long-lived, overprivileged credentials, shared identities, and unattended infrastructure changes create the main risks, especially given prompt injection and automated agent behavior. Recommended practices include assigning each agent a unique machine identity, limiting permissions by environment, using OIDC or other temporary credentials, keeping secrets out of agent context, requiring human or policy approval for production promotion, maintaining immutable audit logs, enabling rollback, and automatically shutting down non-production environments.

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