As companies increasingly utilize Artificial Intelligence (AI) and Large Language Models (LLMs) for productivity and growth, the implementation of robust access controls has become essential to safeguard data and ensure responsible AI usage. Access controls regulate who can interact with AI models and data, thereby preventing unauthorized access and mitigating both external and internal threats. The document emphasizes the importance of access controls in protecting sensitive information, noting that a significant portion of AI security incidents involve unauthorized access. It also highlights best practices for implementing effective access controls, such as using Single Sign-On (SSO) solutions, Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and conducting regular access reviews. Looking to the future, the text discusses the role of AI agents and the necessity of clearly defined permissions to prevent misuse and ensure compliance with ethical and organizational guidelines. By adopting these measures, organizations can reduce security risks, protect sensitive data, and ensure the ethical use of AI technologies amid evolving security challenges.