Abstract
This paper presents an AI Security Framework designed to provide a practical and effective solution for securing AI-based systems. The proposed framework focuses on protecting sensitive data, securing AI models, and ensuring compliance with privacy regulations. It includes key components such as secure data handling, threat detection, access control, continuous monitoring, and real-time alerts. The system also supports safe integration of LLMs while reducing risks such as adversarial attacks and unauthorised access. The main goal of this framework is to offer a simple, scalable, and reliable approach to AI security. It helps organisations use AI technologies safely while maintaining strong protection against modern cyber threats.