Using AI to enhance threat intelligence capabilities

The proposed research project aims to revolutionize cybersecurity at Difenda Inc. by integrating artificial intelligence (AI) into their security infrastructure. Traditional methods of analyzing cyber threat intelligence (CTI) are hindered by manual processes, resulting in slow response times and information overload. Through the adoption of AI-driven solutions, the project seeks to automate the accumulation, processing, and prioritization of CTI from various sources, such as SIEM logs and the Dark Web. By leveraging Microsoft Security Copilot and developing AI algorithms, Difenda Inc. aims to streamline CTI analysis, reduce analyst workload, and enhance scalability. The project also focuses on transforming data into actionable intelligence for incident response, thus fortifying the company’s security posture. Additionally, by creating standardized formats for data exchange, the research contributes to collaborative defense strategies. Ultimately, this initiative positions Difenda Inc. at the forefront of proactive cybersecurity practices while advancing the collective knowledge base in utilizing AI for effective threat intelligence.

Faculty Supervisor:

Fatemeh Khoda Parast

Student:

Partner:

Difenda Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program: