Cybersentinel AI: An Intelligent Cybersecurity Framework Using Artificial Intelligence
Amandeep Amandeep · International Journal for Research in Applied Science and Engineering Technology · 2025
"CyberSentinel AI: An Intelligent Cybersecurity Framework Using Artificial Intelligence," we proposed a scalable AI based solution for detecting and preventing cyberattacks which has been implemented and evaluated using machine learning methods and NSL-KDD dataset which is one of the most popular benchmark dataset in this domain.The introduced approach can be applied to detect malicious behavior in network traffic through preprocessing data, feature extraction, and probabilistic model training used for binary classification of normal and attack data. The pipeline involves processes such as standardization, encoding and model fitting with supervised machine learning algorithms to achieve high recognition accuracy and low false positives.. Its design guarantees the modularity and scalability of the system to be used in a real-time fashion in networked scenarios. Relevant visualizations, performance graphs, and model artifacts are provided to show the efficacy of the proposed solution. These experiments and results suggest that it is possible for AI-based cybersecurity methodologies to improve the accuracy of threat detection over existing systems. With the help of automation and data-driven intelligence, CyberSentinel AI adds to the emerging field of proactive cybersecurity defense, delivering scale-adaptive solution to current digital infrastructures. Such innovative functionalities as deep learning, real-time intrusion detection and cloud-native deployment will be developed in the near future based on this research.