AI‐Based Prioritization of Indicators of Intelligence in a Threat Intelligence Sharing Platform
Vijayadharshni, Krishan Shankash, Siddharth Tiwari, Shruti Mishra, Sandeep Kumar Satapathy, Sung‐Bae Cho, Janjhyam Venkata Naga Ramesh, Sachi Nandan Mohanty · 2025
Our research uses artificial intelligence to rank the cyberthreats according to a machine learning model that is gathered from multiple sources. To safeguard our data and gadgets against nefarious activity, it is essential to be up to date on the most serious and common cyberthreats. In order to tackle this, we were working on a study that will prioritize and reorganize every potential indicator of compromise that has been supplied by reliable sources inside the threat intelligence community. The project's goal is to automate and rank indicators of compromise using machine learning models according to the relevance and severity of the danger at that particular moment. Artificial intelligence techniques will be employed in this process. The goal is to prioritize the Indicators of Compromise by using the most recent AI techniques for analysis and classification of pertinent industry concerns. The rating and analysis of indicators will be automated by implementing artificial intelligence algorithms.