Enhancements    

SRG: ENHANCING MANUFACTURING SECURITY THROUGH AI-POWERED VULNERABILITY ANALYSES, RISK PREDICTION, AND MITIGATION STRATEGIES

SRG: ENHANCING MANUFACTURING SECURITY THROUGH AI-POWERED VULNERABILITY ANALYSES, RISK PREDICTION, AND MITIGATION STRATEGIES
PI: Monika Akbar
Co-PI: Mahmud Hossain
Sponsor: UNIVERSITY OF TEXAS AT SAN ANTONIO
Computer Science
Amount awarded: $152,352

This research initiative focuses on developing an AI -driven framework to analyze cybersecurity vulnerabilities, identify potential threats, and predict risks in manufacturing environments. The goal of the proposed project is to harness AI to model the complex interconnections between vulnerabilities and weaknesses; formalize the consequences of these connections on potential attack scenarios; utilize discovered insights to forecast risks; and formulate vulnerability and risk mitigation strategies. *Intellectual Property: Intellectual Property Management Plan will be required if awarded.

Posting date: Tue, 08/06/2024

Award start date: Fri, 03/01/2024
Award end date: Thu, 07/31/2025