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AWS raises machine learning expectations for cloud security

AWS raises machine learning expectations for cloud security (Innovation and Research)

A machine learning model consists of an algorithm and training data, and the model is only as good as the data it's trained on. A cloud provider like Amazon has visibility across its entire network, making it much easier to train its machine learning model on what is normal and what might be malicious. A machine learning model is only as good as its training data, but that also means it is less effective at detecting things it has never seen before — so-called "black swan" events. "When you boil down all the hype, machine learning gives you automation — you give it data, and it tells you what to look for, instead of providing it to a human and pouring through all that data." “By using machine learning to understand the content and user behavior of each organization,” he said, “Amazon Macie can cut through huge volumes of data with better visibility and more accurate alerts, allowing customers to focus on securing their sensitive information instead of wasting time trying to find it.”

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