![]() ![]() This type of AI would learn that the movement of these documents is not something that should raise alarms. Having AI flag all of those documents as suspicious is useless. In government agencies, however, that type of document is common. That may be fine in an organization that does not deal with a lot of confidential information. "What we're starting to use machine learning for is actually to learn about the environment we're in and understand it and then deploy self-learning models just for that environment or just for that machine or just for that user."Ī common example of this is using AI to flag and report on all files that have the word 'confidential' in them. "If I want to get to 100 percent I need to adapt each and every environment that I'm in," said Chien. Because no two organizations are identical, their cybersecurity needs and cybersecurity strategy will also be different. The third use case is what Symantec calls 'adaptive security'. It's just going to tell you, you need to investigate because something's happening in your whole environment." It can maybe pinpoint that there were some suspicious things on this machine and, over here, it saw this little behavior.but just broadly. "It just tells you if something bad is happening in your environment. ![]() "We have something called targeted attack analytics, which is basically using machine learning that is able to correlate across all of these control points," said Chien. It is still focused on reducing false positives and filtering out unnecessary alerts, and other distractions that hamper cyber security teams' effectiveness. ![]() Some organizations are turning to AI, not so much to completely solve their problems (yet), but rather to shore up the defenses."Įven though AI and machine learning (ML) have been used for years to reduce the noise from myriad cybersecurity tools and platforms, at first glance the cutting edge of AI has not progressed very far from this seemingly basic functionality. With such ever-increasing threats, organizations need help. "The numbers are staggering - Cisco alone reported that, in 2018, they blocked seven trillion threats on behalf of their customers. "In the Internet Age, with hackers' ability to commit theft or cause harm remotely, shielding assets and operations from those who intend harm has become more difficult than ever," the report states. This ebook, based on the latest ZDNet / TechRepublic special feature, explores how organizations must adapt their security techniques, strengthen end-user training, and embrace new technologies like AI- and ML-powered defenses. Special report: Cybersecurity: Let's get tactical (free PDF) ![]()
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