Multi-cloud non-human identities are everywhere now. They power automation, microservices, CI/CD pipelines, APIs, and serverless functions. They are the service accounts, workload identities, and access tokens that move code, data, and secrets across AWS, Azure, GCP, and private clouds. Each one can hold the keys to your infrastructure.
The real risk: most teams track human identities well, but lack full visibility into non-human ones. Service accounts often outlive the workloads they were created for. Tokens get hardcoded, duplicated, or forgotten. Certificates expire in silence until something breaks. When this happens in a single cloud, it’s bad. When it happens in multi-cloud, it’s chaos.
Managing multi-cloud non-human identities means knowing exactly where they are, who created them, and what they can do. This starts with complete inventory across all cloud providers. You need to normalize identity data from AWS IAM, Azure Active Directory, GCP IAM, and Kubernetes RBAC. You need policy enforcement that works across different access control models.
Security controls must include scoped permissions, time-bound credentials, and automated rotation. Every token, key, and certificate needs lifecycle management. Secrets should never be stored in code. Audit logs must include machine-to-machine actions. These are not optional in a world where workloads span functions in one cloud and containers in another.