- “Machine learning is a very powerful technique for security—it’s dynamic, while rules-based systems are very rigid,” says Dawn Song, a professor at the University of California at Berkeley’s Artificial Intelligence Research Lab. “It’s a very manual intensive process to change them, whereas machine learning is automated, dynamic and you can retrain it easily.”
- “We will see an improved ability to identify threats earlier in the attack cycle and thereby reduce the total amount of damage and more quickly restore systems to a desirable state,” says Amazon Chief Information Security Officer Stephen Schmidt.
- A Microsoft system designed to protect customers from fake logins had a 2.8 percent rate of false positives
- To do a better job of figuring out who is legit and who isn’t, Microsoft technology learns from the data of each company using it, customizing security to that client’s typical online behavior and history. Since rolling out the service, the company has managed to bring down the false positive rate to .001 percent. “