User and entity behavior analytics is a process to identify insider threats, financial fraud and targeted attacks. This solution is used to analyze patterns of human behavior and then apply statistical analysis and algorithms to detect variances.
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When end users has been cooperated, malware can lay inactive and go undetected. Moderately than trying to find where the outsider entered, user and entity behavior analytics enables for quicker detection by using algorithms to detect insider threats.
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User and entity behavior analytics solution is used in big data platforms such as apache Hadoop to analyze petabytes, detect insider threats and advanced persistent threats. The grouped data is analyzed to define varied human behavior patterns, which are then used to detect unusual behavior and threat.
This is done with the help of advanced machine learning techniques and statistical analysis.
The demand for user and entity behavior analytics is expected to increase at a quick rate over the forecast period till 2024 due to growing volumes of data breaches and massive investment in threat prevention technologies. With the growing demand for advanced solution for security enterprises are investing heavily in attack detection analytical solution to uncover security risks that criminals may exploit, pushing the demand for user and entity behavior analytics solution.
This solution helps enterprises covering insider threats, security management, data exfiltration, and identity, and access management.
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The factors restraining the growth of the user and entity behavior analytics market include shortage of trained security professionals and lack of awareness regarding advanced insider threats. User and Entity Behavior Analytics is emerging as the most promising solution to extensive cyber threats and fraud.
The Global User and Entity Behavior Analytics Market is accounted for $89.50 million in 2015 and is expected to reach $1458.91 million by 2022 growing at a CAGR of 48.9% from 2015 to 2022. User centric approach is one of the significant opportunities for the market growth over the forecast period.
Lack of trained security professionals, rising demand to avoid insider threats posed by users and real time analytics are some of the drivers which are helping the market to compete across the globe. However, lack of information regarding advanced insider threats will pose a challenge for quick hasty market growth.
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By end user, Healthcare segment is expected to grow at a significant growth rate due to increasing consciousness among organizations regarding threats posed by insiders and many recent cases of high level cyber attacks. North America commanded the largest market share in user and entity behavior analytics market owing to improved usage of user and entity analytics solutions across varied industries in the region.
Some of the top key vendors in this market include Dtex Systems, Niara, Inc., Exabeam, Inc., Varonis Systems, Inc., Splunk, Inc., Rapid7, Sqrrl Data, Inc., Gurucul, Bay Dynamics, Securonix, Veriato Inc., Darktrace Limited, E8 Security, LightCyber and Fortscale security ltd.
Deployment Types Covered:
Table of Content:-
1 Executive Summary
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
3 Market Trend Analysis
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