Securing the Software Development Life Cycle with Machine Learning

Securing the Software Development Life Cycle with Machine Learning

Explore how machine learning and natural language processing can enhance security in software development. Learn to identify and track security bugs throughout the software development life cycle, from basic concepts to practical implementation. Delve into handling challenges like mislabeled training data, privacy concerns, and deployment strategies. Gain insights into the role of data science in security, classification systems, and the impact of machine learning on bug detection. Discover the benefits for both security teams and customers, and understand the implications for developers and security practitioners in this comprehensive 44-minute conference talk from the RSA Conference.