Big Data Analytics Gives Security Boost to Feds

Big data analytics

1 - Big Data Analytics Gives Security Boost to FedsBig Data Analytics Gives Security Boost to Feds

Most federal IT managers are using big data analytics in some form for cyber-security. Yet obstacles remain, including a shortage of skilled talent and poor management support.

2 - Data Security BenefitsData Security Benefits

Feds believe that fully leveraging big data for cyber-security will improve protection from external (66%) and internal security threats (57%). It also will decrease the time to detect a threat (50%) and remedy an incident (40%) and reduce false alerts in existing monitoring systems (40%).

3 - Big Data GrowthBig Data Growth

81% of federal IT managers report their agency is using big data analytics for cyber-security in some capacity; 53% use it as a part of their overall cyber-security strategy and 28% use it in a limited capacity.

4 - Scanning for VulnerabilitiesScanning for Vulnerabilities

The most common uses for big data include detecting vulnerabilities in the IT environment (55%), detecting breaches that are currently happening (54%), correlating and analyzing data from multiple sources (51%), and monitoring streams of data in real time (49%).

5 - Advanced AnalyticsAdvanced Analytics

51% of respondents currently use behavioral analytics and 71% have some form of continuous diagnostic capabilities.

6 - Lack of ConfidenceLack of Confidence

45% of respondents who use big data analytics for cyber-security trust their efforts to be highly effective.

7 - Compromised DataCompromised Data

59% of respondents said their agency deals with a cyber-security compromise at least once a month due to its inability to fully analyze data.

8 - Data Analysis StrugglesData Analysis Struggles

88% of respondents said their agency faces challenges gaining cyber-security intelligence from data, with the majority reporting the task has become more difficult in the past two years.

9 - Securing Volumes of DataSecuring Volumes of Data

The biggest challenges include the sheer volume of cyber-security data (49%), lack of the right systems in place to gather the cyber-security information needed (33%) and information is no longer timely when it makes it to cyber-security managers (30%).

10 - Data LossData Loss

Respondents estimate that more than 40% of their data goes unanalyzed.

11 - Adoption RoadblocksAdoption Roadblocks

The biggest issues holding back big data adoption include a lack of skilled personnel (40%), privacy concerns (27%) and a lack of management support/awareness (26%).

12 - Security ImprovementsSecurity Improvements

90% of big data users have seen a decline in security breaches due to big data analytics. They cited declines in malware (50%), insider threats (47%) and social engineering (46%).

13 - Stopping AttacksStopping Attacks

84% of big data users have successfully stopped at least one cyber-security attack by using big data.

14 - Bigger InvestmentsBigger Investments

94% plan to invest in big data analytics in the next two years, with planned investments in technology infrastructure (61%), hardware (52%), and business intelligence tools/analytics (52%).

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