Data science techniques can help organizations solve their security problems — but they aren’t a silver bullet. Working directly with customers, Endgame has been able to match the right science to unsolved customer security challenges to create effective solutions. In this talk, you will experience a small part of that process by learning:
-How machine learning techniques can be used to find security insights in large amounts of data.
-The difference between supervised and unsupervised learning and the different types of security problems they can solve.
-How a lack of labeled data and the high cost of misclassifications present challenges to data scientists in the security industry.
-How Endgame has used an unsupervised clustering technique to group cloud-based infrastructure, a fundamental step in the detection of malicious behavior.