The research, which Carbon Black says looked "Beyond the Hype" found that the roles of AI and ML in preventing cyber-attacks have been met with both hope and skepticism. The vast majority (93 percent) of the 400 security researchers interviewed while conducting this research said non-malware attacks pose more of a business risk than commodity malware attacks, and more importantly that these are often not stopped by traditional anti-virus offerings. Mike Viscuso, co-founder and CTO of Carbon Black told SC Media UK: "Researchers have reported seeing an increase in the number, and sophistication, of non-malware attacks. These attacks are specifically designed to evade file-based prevention mechanisms and leverage native operating system tools to keep attackers under the radar." One respondent explained: "Most users seem to be familiar with the idea that their computer or network may have accidentally become infected with a virus, but rarely consider a person who is actually attacking them in a more proactive and targeted manner."
Cylance polled 652 IT decision makers in the U.S., UK, Germany and France, and found that optimism about the value of artificial intelligence-powered solutions in the enterprise is high and plans to continue investment in the technology are widespread. AI is already making a significant impact in the enterprise, analyzing trends in security, operational efficiency, marketing, employee perceptions, and other areas. Organizations are already investing in AI, and this will only increase: Nearly all of the IT decision makers surveyed said they are either currently spending on AI-powered solutions or planning to invest in them in the next two years; 60 percent already have AI in place. Additionally, 79 percent say AI is a top priority for their boards and C-suite executives. For security teams, AI is moving the needle: Seventy-seven percent have prevented more breaches following their use of AI-powered tools and 81 percent say AI was detecting threats before their security teams could.
At Microsoft, we analyze 300 billion user authentications and check 200 billion emails for spam and malware monthly. We also have unprecedented visibility into cloud infrastructure choices, platforms and the activity therein. Such visibility has no precedent in the on-premises world. But, how do you make sense of so much data and turn it into cyber security? With Azure Security Center, we deeply analyze a wealth of data, from a variety of Microsoft and partner solutions to help you achieve greater security.
Defense and intelligence organizations have long sought to take full advantage of one of their most valuable resources – the vast amount of data they collect on a daily basis. They want to be able to use that data to make more insightful, forward-looking decisions about readiness, logistics, manpower, intelligence, and a host of other critical defense concerns.
Security staff are spending too much time on tasks that can be better handled by software. As noted by ZDNet, IT decision-makers estimate that employees waste three hours per day dealing with issues from application feature gaps, and security admins see that waste reach 10 hours per week, according to a study commissioned by LogRhythm.