The Royal Bank of Canada (RBC) and BGN Technologies, BGU's technology transfer company, have announced that RBC is investing $2 million into research at BGU's Cyber-Security Research Center. The funding will support the development of adversarial artificial intelligence (AI), including machine learning-based cyber mitigation techniques.
As the threat landscape continues to evolve in cyber security, artificial intelligence and machine learning have become the industry standard for providing state-of-the art performance in complex tasks like automatic personal assistant, facial and speech recognition, as well as fraud, malware and cyber issue detection.
This research collaboration will aim to further develop protection methods to strengthen and evaluate the resilience of current AI and machine learning techniques, while limiting their vulnerability to threats and tampering. The research areas will be developed in collaboration with Prof. Yuval Elovici and Dr. Asaf Shabtai, both from the Department of Software and Information Systems Engineering, at the Cyber Security Research Center.
“In today's incredibly complex world, we need advanced technology like AI and machine learning to continue developing leading-edge cyber security," said Martin Wildberger, EVP Technology & Operations, RBC. “This partnership will help support our cyber defense by working with prominent experts in the field, such as the researchers at Ben-Gurion University."
“We are looking forward to collaborating with RBC, Canada's largest bank," said Danny Shtaier, High-Tech Business Development, at BGN Technologies. “This partnership provides our researchers with the opportunity to further apply their leadership in cyber security research to the banking industry, where security is crucial for daily operations and the safety of customers."
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