Manati: Machine Learning for Threat Intuitive Analysis
Machine Learning for Threat Intuitive Analysis
The ManaTI project consists of a front-end web application and a back-end server infrastructure. The web application centralizes all the operations of the analysts and the back-end infrastructure stores the data and runs the algorithms. The main goal of the web application is to provide threat analysts a fast interface and analysis tools to speed up their research.
The goal of the ManaTI project is to develop machine learning techniques to assist an intuitive threat analyst to speed the discovery of new security problems. The machine learning will contribute to the analysis by finding new relationships and inferences. The project will include the development of a web interface for the analyst to interact with the data and the machine learning output.
This project is partially supported by Cisco Systems.