Security @ Adobe Introducing Tripod: an Open Source Machine Learning Tool

Machine learning (ML) and artificial intelligence (AI) are becoming very useful technologies in cybersecurity. However, before you can model, validate, and visualize security data that will actually be useful, you need to prepare the data properly for input. This can be a difficult and complicated process – something data scientists wrestle with often. More than just traditional data preparation, which includes cleansing the data and de-duping, ML algorithms often require numerical rather than standard text input. The challenge is finding an efficient and accurate way to convert your data to numerical values that can be consumed by the ML model or algorithm.