L2M – AI-Driven Cybersecurity for Ocean Critical Infrastructure

This project will develop an AI-powered cybersecurity system to help protect important ocean infrastructure, starting with offshore energy systems such as oil and gas, wind and tidal farms. These facilities are becoming a key part of Canada’s clean energy future but are also vulnerable to cyberattacks that could cause costly shutdowns or disruptions. The project will create tools that can detect unusual activity, test different attack scenarios in a safe digital environment, and suggest quick responses to keep systems running securely. For the partner organization, this work will provide a clear business model, a prototype system, and direct input from industry stakeholders, helping them move closer to offering a unique product that improves the safety, reliability, and trust in Canada’s offshore energy and ocean infrastructure.

Faculty Supervisor:

Mohsin Jamil

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Cyber Security; Artificial Intelligence; Ocean Tech

University:

Memorial University of Newfoundland

Program: