Why deep learning isn't always the best AI solution

Deep learning is a new method of artificial intelligence that is an active, fast-moving area of research where we can expect advances to become market-ready over the next several years. Unfortunately, market hype has turned deep learning into a buzzword that can contribute to the misconception that other approaches to AI are not relevant. After all, if you are not doing deep learning, surely you must be doing shallow learning, right? In cybersecurity, we use various techniques, such as statistics, probability theory, and multiple machine learning algorithms (of which deep learning is one example), to look at use cases and the data available, selecting the best math or algorithm for the job. We take data from various sources -- application logs, source code, etc. -- choosing the right algorithms based on our understanding of the dataset and use case.