Security News > 2022 > February > Preventing software security vulnerabilities with automation
A team of UTSA researchers is exploring how a new automated approach could prevent software security vulnerabilities.
The team sought to develop a deep learning model that could teach software how to extract security policies automatically.
Unlike traditional software models, the agile software development process is meant to produce software at a faster pace, eliminating the need to spend time on comprehensive documents and changing software requirements.
"The basic idea of addressing this disconnect between security policies and agile software development came from happenstance conversation with software leaders in the industry," said Ram Krishnan, associate professor in the UTSA Department of Electrical and Computer Engineering.
Access control classification helps the software decide if user stories contain access control information.
"Since agile software development focuses on incremental changes to code, a manual process of extracting security policies would be error-prone and burdensome," he added.
News URL
https://www.helpnetsecurity.com/2022/02/09/prevent-software-security-vulnerabilities/
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