Early warning identity threat and mitigation system

While many organizations share threat intelligence, there is still a lack of actionable data for organizations to proactively and effectively respond to emerging identity threats to mitigate a wide range of crimes. There currently exists no solution for organizations to access current trends and intelligence to understand emerging threats and how to appropriately respond to them. This research project delivers I-WARN, to help bridge that gap. Using a wide range of open-source information, I-WARN gathers, analyzes, and reports on threats related to the theft, fraud, and abuse of Personal Identifiable Information (PII). Then maps those threats to the MITRE ATT&CK framework to offer mitigation and risk reduction tactics. I-WARN aims to deliver actionable intelligence, offering early warning into threat behaviors, and mitigation responses. This thesis discusses the technical details of I-WARN, current solutions for threat intelligence sharing with how they compare to I-WARN, and future work.Electrical and Computer Engineerin