The explosive growth of automated systems, applications, IoT devices, and service accounts has introduced complex challenges for identity management. Unlike human identities, non-human accounts often exhibit unique usage patterns, heightened security vulnerabilities, and limited accountability mechanisms, making their secure management critical yet challenging. This presentation explores methodologies, frameworks, and best practices for managing identities of non-human entities. We analyze current strategies including automated provisioning, credential rotation, permission management, lifecycle governance, and monitoring and auditing processes tailored specifically to non-human accounts. Additionally, we discuss emerging approaches utilizing artificial intelligence and machine learning for enhancing security, detecting anomalies, and enforcing compliance. By highlighting risks, controls, and innovations in non-human identity management, this study contributes valuable insights for organizations seeking to mitigate identity-related threats and achieve comprehensive security in increasingly automated environments.