Similar monitoring of cloud applications can provide additional insight if, for example, a user account is seen to be rapidly creating new users or downloading large volumes of data. The more and varied types of data that can be fed into a security-analytics system, the better the potential results because the system can more effectively cross-correlate suspicious activities to prioritise the most potentially problematic issues.
By prioritising the collection and analysis of such data - along with the improvement of backup regimes that can help recover from ransomware and other attacks - CEOs can leverage innovation in security analytics solutions to build the kind of security defence that gives them a fighting chance to avoid becoming the next Target.
"We're a big-data solution so we can track many different dimensions of a person's behaviour," Smith explains, noting that the business world is "in a transitional state" as growing executive concern promotes the adoption of new, more-effective technologies.
"We can pull together lots of not-normal things and correlate them with other potentially-risky things," he says. "It's not that detecting this stuff is impossible; we see it every day where ransomware and other malware gets stopped. It just takes a slightly different thought process."
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