Agentic AI has become a reality, changing how we get things done with its ability to independently make decisions and take actions. However, this shift also introduces new security challenges, particularly around identity management. As AI agents operate in the background 24/7 across different environments, they create digital identities that can grow uncontrolled and lead to identity sprawl, making it challenging to track visibility, audit, and clean up manually. Traditional identity and access management tools are not designed to handle these new risks, and organizations need to reassess their approach to identity management to keep up with agentic AI. To address these challenges, organizations should implement just-in-time access, short-lived credentials, context-aware permissions, and policy-as-code frameworks, as well as use tools that continuously scan for new identities and map them to the systems or agents that created them. Additionally, clear ownership, dedicated groups focused on NHI governance, and scalable identity infrastructure are essential to stay ahead of the growing exponential growth of machine identities.