Mittal, SudipJoshi, AnupamFinin, Tim2019-10-012019-10-012019-05-07Sudip Mittal, Anupam Joshi, Tim Finin, Cyber-All-Intel: An AI for Security related Threat Intelligence, Computer Science, Artificial Intelligence, 2019, https://arxiv.org/abs/1905.02895http://hdl.handle.net/11603/14951Keeping up with threat intelligence is a must for a security analyst today. There is a volume of information present in `the wild' that affects an organization. We need to develop an artificial intelligence system that scours the intelligence sources, to keep the analyst updated about various threats that pose a risk to her organization. A security analyst who is better `tapped in' can be more effective. In this paper we present, Cyber-All-Intel an artificial intelligence system to aid a security analyst. It is a system for knowledge extraction, representation and analytics in an end-to-end pipeline grounded in the cybersecurity informatics domain. It uses multiple knowledge representations like, vector spaces and knowledge graphs in a 'VKG structure' to store incoming intelligence. The system also uses neural network models to pro-actively improve its knowledge. We have also created a query engine and an alert system that can be used by an analyst to find actionable cybersecurity insights.13 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.cybersecurityartificial intelligenceknowledge representationthreat intelligenceintelligence gatheringText