An Artificial Intelligent (AI) Automated Compliance Framework for Securing Critical Infrastructure

The project is called as An AI-Based Automated Compliance Framework to secure the critical infrastructure. The project will provide an automated system of securing critical infrastructure with a machine learning/ Artificial Intelligence-based tool that will provide a timely and correct compliance mechanism (activated by the identified network attacks activity) and predictive models. These predictive models will be machine learning that will be used to process the network traffic data to predict detected active network threats, such as CROSS-SITE SCRIPING (XSS), DDoS, Man-in-the-Middle (MITM), Structured Query Language (SQL Injection), etc. In order to allow the users to utilize the framework and upload their network traffic data to the service, visualize and analyze compliance recommendations based on the security framework, an artificial intelligent User Interface (Flask/MySQL/joblib) was developed. The final output of this project is to adorn an automated process of compliance/security that will facilitate timely and fitting detection, analysis and response of new security threats to critical infrastructure.