RANK Software and the Fields Institute Collaborate on AI Cybersecurity Research

Findings in automated detection expected to help enterprises strengthen resilience to cyber-attacks


TORONTO, July 10, 2018 (GLOBE NEWSWIRE) -- RANK Software, a leading artificial intelligence (AI)-based threat detection company and the Fields Institute for Research in Mathematical Sciences, a global leader in mathematics research hosted by the University of Toronto, announced today a joint collaboration in cyber security research focused on automated detection mechanisms. The flagship project of this new partnership between RANK Software and the Institute’s new Centre for Quantitative Analysis and Modelling (Fields-CQAM) will focus on using machine learning to develop and improve cyber security detection mechanisms. The expected outputs of the study will contribute to the development of new intellectual property and research that will advance the field of cyber security analytics, with preliminary results expected by late 2018.

“Since 1992, the Fields Institute has been focused on promoting mathematical activity in Canada and expanding the application of mathematics across sectors,” said Huaxiong Huang, Director of Fields-CQAM. “Our new Centre for Quantitative Analysis and Modelling expands on this directive, collaborating with innovative and ambitious companies to disseminate mathematics research for the benefit of the private and public sectors. As such we are pleased to partner with RANK Software to explore how the next generation of machine learning and artificial intelligence can help strengthen resilience to cyber-attacks.”

As the frequency and potential impact of cybercrime increases, such collaborative research is critical to ensure that organizations can adapt to this fast-changing threat landscape. “Gartner forecasts that 20.4 billion connected things will be in use by 2020. More devices connected to the network makes security scalability a critical capability for enterprises as they plan today for tomorrow’s challenges,” said Rick Costanzo, CEO of RANK Software. “This project with the Fields-CQAM will provide extensive data and knowledge to help us continue to drive innovation in the cybersecurity space, especially where early detection and resolution have significant impacts on businesses, consumers, finances and reputation.”

About RANK Software
RANK Software is a new generation security intelligence and analytics platform that helps enterprises identify and analyze cybersecurity threats in real time, allowing them to take a proactive security posture in the rapidly changing cyber threat landscape. For more information, please visit www.ranksoftwareinc.com

About the Fields Centre for Quantitative Analysis and Modelling (Fields-CQAM)
Fields-CQAM is a network of academic-industry laboratories, their international collaborators, student trainees, and the industrial partners able to efficiently commercialize applied mathematical research for the benefit of the broader economy. These province wide innovation clusters address the expanding need for data analytics in modern industry, and transfer talent, challenges, and solutions between Fields-CQAM and its broader receptor community. Their vision? To make Ontario the international leader in developing and deploying advanced mathematical methodologies for the emerging knowledge economy. For more information, including funding opportunities, please visit www.cqam.ca

About the Fields Institute
The Fields Institute is a nonprofit centre for mathematical activity, based at the University of Toronto. As a hub that provides a supportive and stimulating environment for mathematics innovation and education, the Institute’s mission is to bring together mathematicians from across the globe to develop the mathematics that will shape the future. Fields supports research in pure and applied mathematics, statistics, and computer sciences, as well as collaborations between mathematicians and practitioners in engineering, physical and biological sciences, medicine, finance, telecommunications, and information systems. To learn more about the Institute’s programs and how you can support them, please visit www.fields.utoronto.ca

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