Automating Insider Threat monitoring and detection

Insider threat involves individuals who have access to company resources and causes harm to the institution. These insiders can be employees, consultants, contractors, and third-party companies. Different types of insiders include people who intentionally harm the company, those to masquerade as a trusted entity, and those who unintentionally cause harm. Insider threats can lead to the disclosure, alteration, or destruction of sensitive information. To defend against such threats, companies need a system to detect and reduce insider threat risk. This project focuses on developing a system that automates the identification of high-risk groups for insider threats and generating remediation strategies for each risk a group may pose. The project will benefit EQ Bank’s Insider risk team in categorizing and identifying key hallmarks of insiders. This will provide more context to the team in making strategies to mitigate the risk emerging from potential insiders.

Faculty Supervisor:

Ali Dehghantanha

Student:

Partner:

Equitable Bank

Discipline:

Computer science

Sector:

Finance and Insurance

University:

University of Guelph

Program: