Proof Point
Lack of expertise, technologies, and other resources top challenges in adopting big data analytics for cybersecurity, according to IT practitioners surveyed by Ponemon Institute
Top Challenges in Big Data Analytics Adoption for Cybersecurity
2016 (percentage of respondents)
| Note: | Data based on Ponemon Institute’s 2016 Big Data Cybersecurity Analytics Research Report, which surveyed 592 IT and IT security practitioners in U.S. |
Proof Point Findings
- Big Data Analytics for Cybersecurity – Assimilation of large data sets to uncover hidden patterns and insights to combat cybersecurity threats
- Lack of Resources – Lack of resources common challenge for respondents in adopting big data analytics for cybersecurity, including insufficient in-house expertise (65%), technologies (60%), and other resources (44%)
- Not a Priority – 35% of executives do not see cybersecurity as risk, while 18% think big data analytics in cybersecurity is not priority
- Key Drivers – Include growing number and sophistication of cybersecurity attacks, heightened demand for cybersecurity professionals in firms, and increasing digitization of organizational data
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Sector |
Information Technology
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Date Last Updated |
August 19, 2017
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