Identifying abnormal behavior automatically to detect attacks on systems based on operational system and network logs could function as a powerful proactive security tool, especially during a pandemic, since more people are working remotely online. “Our partnership with UTSA demonstrates our commitment to leading innovation and to continued development of expertise for our nation’s cyber workforce.” “Raytheon Technologies is proud to partner with UTSA’s world-class faculty who will bring cutting-edge artificial intelligence and machine learning techniques to tackle urgent cyber challenges facing our nation’s computer systems,” said John DeSimone, vice president of Cyber, Training and Services at Raytheon Technologies. We are very excited to partner with Raytheon to solve these challenging problems.” “Our partnership with UTSA demonstrates our commitment to leading innovation and to continued development of expertise.” “Automation, cyber analytics, machine learning, artificial intelligence and other enabling technologies need to be integrated into current concepts of operations in order to allow them to spend time on higher-priority mission activities. “Today’s security analysts and threat hunters are overloaded with data and mired down by manual processes,” said Beebe. Luis Selvera, a graduate student, is also assisting with the project. The project, funded by a $447,000 grant from Raytheon Intelligence & Space, is being led by Nicole Beebe, professor and chair of UTSA’s Department of Information Systems and Cyber Security Paul Rad, associate professor of information systems and cyber security and Eric Bachura, assistant professor of information systems and cyber security. OCTOResearchers in UTSA’s College of Business Cyber Center for Security and Analytics have partnered with Raytheon Intelligence & Space to study the use of artificial intelligence to detect malicious attacks.
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