AWS STSv1.0.3

A platform team uses assume_role to grant short-lived credentials to build agents that deploy into customer AWS accounts. Instead of storing long-lived IAM keys in CI secrets, each job assumes a scoped role and credentials expire automatically.

A SaaS vendor lets paying customers connect their AWS accounts via a trust role. The product assumes the role at job runtime to read resource inventory and cost data, keeping each tenant's data isolated behind separate AssumeRole sessions.

An agent platform issues OIDC tokens and exchanges them via get_federated_credentials for temporary AWS credentials. This removes static secrets from agent runtimes while maintaining auditable, short-lived access to customer AWS environments.

A consulting firm performing periodic reporting for clients assumes client roles for the report duration only. Every data pull uses fresh session credentials, minimizing the blast radius if a runtime is compromised.

A data team runs scheduled ETL that assumes a role in a shared analytics account. Each job receives a scoped session, and long-lived AWS keys never leave the central secrets store.

Charge per AssumeRole invocation or per federated credential exchange above a free tier. Aligns cost with actual cloud access volume, which scales naturally with customer workloads.

Bundle STS-based temporary credential issuance into a broader secrets and identity governance product. Enterprises pay seat and platform fees for centralized policy enforcement and audit trails.

Offer the connector as part of a managed cloud-integration marketplace where customers pay for concurrency, retention, and support SLAs. Revenue grows with the number of connected AWS accounts.