Gaze into Splunk’s Crystal Ball for What’s to Come in 2017
Last year, a team of Splunkers came up with several predictions for what 2016 would bring in the fields of IT, security, and big data. This year we’ve done it again, looking into our crystal ball (or industry experience) to share our prophecies for 2017.
But first, let’s look back at some of the hits and misses of what we predicted for 2016.
Behavioral analysis will shift from an emphasis on user credentials to machine-to-machine credentials.
Haiyan Song, our SVP of security markets, predicted that “anomaly detection will become less about analyzing users or entities and more about leveraging machine learning and data science.” While there’s still a way to go, this has begun to come true: As…