Our “SEMLA: Securing Enterprises via Machine-Learning-based Automation” project proposal has been selected for funding by Vinnova. The project cost is 12MSEK with Prof. Marco Chiesa as the PI. Other project partners include members from the Computer Security group from KTH, the Connected Intelligence unit at RISE, RedHat, and Saab.
The SEMLA project seeks to make the development of software systems more resilient, secure, and cost-effective. SEMLA leverages recent advancements in machine learning (ML) and artificial intelligence (AI) to automate critical yet common & time-consuming tasks in software development that often lead to catastrophic security vulnerabilities.