Assessing Your Security Exposure with Public Data Sets and Machine Learning
September 21, 2017
An accurate understanding of your public network and application exposure is necessary for everything from scalable security automation to red team exercises. Although, it can be overwhelming trying to keep up with a large organization. This presentation discusses techniques for leveraging freely available data to create complete network graphs of your environment, and track best practices. In addition, that data set can be fed into machine learning to automatically identify security issues.