Winning the Cyber Arms Race with Machine Learning

Despite advances in cybersecurity technology, the number of days to detect a breach has increased from an average of 201 days in 2016 to an average of 206 days just a year later, according to the 2017 Ponemon Cost of Data Breach Study. While organizations are getting increasingly better at discovering data breaches on their own, 53 percent of breaches were discovered by an external source in 2017, meaning organizations had no idea their data had been compromised. Part of the problem is that there is no easy way for many organizations to automatically correlate and analyze all of the data being collected by the various security solutions that have been deployed across the network. That problem is compounded by the fact that many of these tools operate in isolation. The result is that IT teams have to hand correlate data collected from different sources looking for a needle in the haystack. The opportunity for human error is high and log files simply scroll by too quickly for anyone to be able to gather actionable information from them.

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