Big data and security
Big data analytics is playing a crucial role in IT security, a new report from the Ponemon Institute and Cloudera finds.
Just under a third self-describe their IT security posture as mature while 40% say they are in the late stages of achieving that maturity.
In terms of ability to identify attacks, 67% said they could spot web-based attacks, followed by application-level attacks, such as SQL injection, cross site scripting or remote file inclusion (63%), denial of services (56%) and network-borne threats (54%).
A full 65% of respondents say the use of big data analytics is very important to ensuring a strong cyber-security posture.
Organizations are 2.25 times more likely to identify a security incident within hours or minutes when they are a heavy user of big data cyber-security analytics.
A full 81% of respondents say demand for big data for cyber-security analytics has significantly increased in the past 12 months.
Lack of in-house expertise (65%), insufficient technologies (60%) and insufficient resources (44%) are key obstacles to adoption.
Just about three-quarters describe cyber-security analytics as either extremely difficult to deploy (30%) or difficult to deploy (34%).
Just under three-fourths (72%) say it’s impossible to get ahead of modern threats by relying on legacy systems.
Nearly 3 in 10 (29%) of the IT security apps are using Hadoop to increase data volumes by more than 100%. Just under three-quarters (72%) are using Hadoop to increase data processing by more than 76%. Another 43% are using Hadoop to increase data access for analytics by more than 100%.
Applying machine learning algorithms to IT security was cited by 51%, followed closely by user behavioral analytics (50%), advance warning of attacks (48%) and the ability to identify more vulnerabilities faster (47%).
Companies represented in this research are allocating an average $14.50 million to IT security in fiscal 2016. An average of $2.32 million (16%) of this budget is allocated to analytics tools.