At RSA 2019, as indicated by Bugra Karabey, the senior risk manager from Microsoft, artificial intelligence (AI) and machine learning (ML) technologies have found a ubiquitous application in the cybersecurity field. Currently, ML is the most popular AI technology which is extensively used. Meanwhile, people begin to think about drawbacks and even security risks of ML.

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The RSA Conference 2019, which is dedicated to addressing worldwide information security issues, was held in March 4–8. This year’s RSA Conference took “Better” as its theme, aimed at exploring new cybersecurity development realms in a digital epoch and finding better security vendors, products, services, and solutions. In the past few years, with the rapid adoption of big data and artificial intelligence (AI) techniques, players across the security industry have been energetic in pushing “better” application of these new techniques in the security field. Detection and response are the two permanent security topics much talked about at both last year’s and this year’s conference. This indicates that security vendors are inputting more resources into AI-automated detection and response. By combining automation, process orchestration, AI, and machine learning, they try to optimize their centralized security management and operations platform for more automatic and intelligent threat discovery and response. (mais…)