Gaze into Splunk’s Crystal Ball for What’s to Come in 2017

social-splunk-2017predictionsLast 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

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Security Forecast for 2016

1215-f-predictions-cover_8805752016 is off to a cracking start with security news – tech announcements, nation state threats, new challenges and new opportunities. Lots of people have made predictions on what we can expect in the next 12 months?

haiyansong_892575Our Vice President of Security Markets, Haiyan Song, takes a different approach for these predictions in SC Magazine. She focuses on action, results, and preparedness. Haiyan notes that as we enter the new year, both government and industry will need to demonstrate how they learned from last year’s cyber mistakes. According to Haiyan, now is the time for the private and public sectors to reexamine cybersecurity strategy, invest in the right technology, bring focus back to people and put new ideas into action. Haiyan encourages the community to evolve our way out of 2015 – the year of the breach – and begin to pivot towards …

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