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Is it Dangerous to Rely Too Heavily on Predictive Analytics for Fighting Ransomware?
Ransomware is a rising threat to businesses all over the world. Between 2016 and 2017, the number of ransomware incidents increased by 350%. The FBI now estimates that there are 4,000 ransomware attacks every day. Digital security experts are desperately looking for new ways to thwart these attacks. Predictive analytics is one of the options at their disposal. New predictive analytics algorithms are able to help identify red flags of a ransomware attack and assess the probability that a business will be targeted in the near future. A growing number of experts are praising the advances in predictive analytics, as they strive to find more reliable ways to fight ransomware. However, they may be putting too much faith in these algorithms. Is predictive analytics the best line of defense against these attacks? Or is it lulling companies into a false sense of security and tempting them to drop their guard? There is a case to be made that both of these scenarios are playing out at the same time. Let’s take a look at the benefits and limitations of predictive analytics in the war against ransomware.
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