Adaptive Intelligence-Driven Cybersecurity Framework Integrating Anomaly Detection and Threat Intelligence for Dynamic Multi-Layered Defense Against Evolving Cyber Threats

This study gives us a new, all-encompassing way to think about cybersecurity that will help make the internet safer as attacks get smarter. Adaptive incident reaction, joint protection, legal compliance guarantee, threat intelligence integration, and anomaly detection are some of the framework’s required parts. This method is the best because it is flexible and covers a lot of ground. This makes it effective at protecting against a lot of different risks. The anomaly detection algorithm is the most important part of the system. When necessary, it examines data and indicators to identify potential hazards. When the system detects a problem, it emits a warning, executes the required actions, and adjusts the settings appropriately. The Hazard Intelligence Integration Algorithm regularly raises the level of intelligence in the system by analysing and selecting consistent, reliable sources that provide risk estimates. This paper supports the Cooperative Defensive Framework, which helps trustworthy groups work together to create a stronger defence. Legal Compliance Assurance makes sure that the framework quickly reacts to changes in regulations and follows the law, which makes it more moral. The Adaptive Event Reaction Algorithm provides customised event responses in real time by detecting changes from normal trends and encouraging teamwork. We find the suggested framework to be more cost-effective, simple to set up, flexible enough to respond to new threats, and in line with international standards when compared to other cyber preventive policies. Adaptability to new laws enhances the system’s moral soundness. This unique method provides a complete, flexible, and ever-evolving way to deal with the constantly shifting cyber danger landscape, thereby making cybersecurity better.