Controls in cybersecurity are policies, procedures, and technical mechanisms implemented to protect information systems and data from threats. They help ensure that systems operate securely and as intended, reducing risks such as unauthorized access, data breaches, and other cyberattacks. Controls can be preventive, detective, or corrective, and may include firewalls, access restrictions, encryption, monitoring tools, and regular audits. In the context of AI, controls are especially important to ensure models function safely, ethically, and in compliance with regulations. Effective controls are essential for maintaining trust, integrity, and resilience in digital environments.