Abstract As cloud computing and digital services continue to expand, cybersecurity threats are becoming more advanced and destructive. Traditional security methods based on fixed credentials, predefined rules, and slow response times often fail to detect attackswhere hackers use valid user credentials. To address this issue, this paper presents an AI-powered Behaviour-Based Access Control (BBAC) system that continuously tracks user activity and identifies unusual behaviour in real time. By learning each user’s normal activity patterns, the system can automatically end suspicious sessions and reset compromised credentials before major damage occurs.This approach provides a proactive and self-healing security layer, making it highly effective for modern software platforms, cloud services, and enterprise environments.
Mali et al. (Sat,) studied this question.