Today, a large enterprise customer has to deal with a number of tools and processes when implementing their application security program. Can we use machine learning and AI to connect people, process, and tools involved in application security testing to provide visibility, control and proactive remediation? Modern agile software development process and best practices create a lot of data which resides in source control management, bug reports, CI/CD pipelines, logging and monitoring tools etc. and yet all this is essentially ignored by the application security tools today. As the tools integrates more closely with the development workflow and touch points, there is a great opportunity to mine software repositories to provide better security and productivity to developers.
0 commit comments