Identity governance traditionally focused on human access, implementing measures like SSO, MFA, and access reviews, yet the next significant security threat is likely to emerge from machine identity compromises, which are increasingly prevalent in cloud environments where machines outnumber humans by a large margin. These non-human identities, such as CI/CD jobs, service accounts, and AI agents, typically have over-permissioned access to sensitive systems and data, and are often overlooked by security workflows due to their invisibility and lack of management structures like ownership, expiration, and audit trails. Documented breaches highlight that machine identity compromises are becoming a preferred attack method because these credentials operate undetected by traditional IAM tools, which are human-centric and fail to accommodate the automatic provisioning and lifecycle management of machine identities. As organizations continue to focus primarily on human access governance, they leave machine identities vulnerable, creating significant security risks. To address this gap, it's crucial to extend governance practices to machine identities, ensuring comprehensive inventory, ownership assignments, and the implementation of policies that manage their permissions and lifecycles, similar to the established governance of human identities.