Are you looking to add User and Entity Behavior Analytics (UEBA) to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important User and Entity Behavior Analytics (UEBA) statistics of 2024.
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How much of an impact will User and Entity Behavior Analytics (UEBA) have on your day-to-day? or the day-to-day of your business? Should you invest in User and Entity Behavior Analytics (UEBA)? We will answer all your User and Entity Behavior Analytics (UEBA) related questions here.
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On this page, you’ll learn about the following:
Best User and Entity Behavior Analytics (UEBA) Statistics
☰ Use “CTRL+F” to quickly find statistics. There are total 15 User and Entity Behavior Analytics (UEBA) Statistics on this page 🙂User and Entity Behavior Analytics (UEBA) Latest Statistics
- Your firewalls are not going to be 100% foolproof, and hackers and attackers will get into your system at one point or another. [0]
- 74 percent of respondents to the ESG/ISSA research report say that their firms are being affected by the shortage. [1]
- This number, by the way, has crept up from 70 percent last year. [1]
- Investment in cybersecurity budgets increased by 141 percent between 2010 and 2018 , driven in large part by new approaches like UEBA. [1]
- 69% of organizations report incidents of attempted data theft by internal threats. [2]
- 81% of breaches involve stolen or weak credentials. [2]
- 91% of firms report inadequate insider threat detection programs. [2]
- User and entity behavior analytics is one of the fastest growing areas within enterprise security, growing at a compound annual growth rate of 48 percent per year, according to Gartner. [3]
- Compromised User Credentials – User account credentials are keys to legitimate access, and stolen credentials are the number one vector for data breaches, according to theVerizon 2018 Data Breach Investigations Report. [3]
- Gartner predicts that by 2024, UEBA technologies will be embedded in 80% of threat detection and incident prioritization solutions. [4]
- According to the ESG/ISSA research survey, 74 percent of respondents think scarcity affects their businesses. [5]
- By the way, this percentage has risen from 70% last year. [5]
- Between 2010 and 2018, cybersecurity expenses surged by 141 percent, owing in large part to emerging technologies like UEBA. [5]
- According to Young , these changing forms of threat making it nearly impossible to be detected with traditional security approaches. [6]
- Convertino reported that companies around the world are spending billions of dollars on network security and yet 90% of them are breached ). [6]
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Reference
- digitalguardian – https://digitalguardian.com/blog/what-user-and-entity-behavior-analytics-definition-ueba-benefits-how-it-works-and-more.
- varonis – https://www.varonis.com/blog/user-entity-behavior-analytics-ueba/.
- logrhythm – https://logrhythm.com/solutions/security/user-and-entity-behavior-analytics/.
- dataversity – https://www.dataversity.net/cybersecuritys-future-is-data-driven-using-ueba-to-thwart-threats/.
- ekransystem – https://www.ekransystem.com/en/blog/5-levels-user-behavior-monitoring.
- pcwdld – https://www.pcwdld.com/what-is-ueba.
- ieee – https://ieeexplore.ieee.org/document/8855782.
How Useful is User and Entity Behavior Analytics
One of the key benefits of UEBA is its ability to detect abnormal behavior within a network. By establishing a baseline of normal user and entity activity, UEBA can identify unusual patterns that may indicate a security threat. For example, if an employee suddenly accesses sensitive data outside of their regular working hours, UEBA can flag this behavior as suspicious and trigger an alert for further investigation.
Additionally, UEBA can help organizations prevent insider threats by monitoring employee behavior for signs of malicious intent. Whether intentional or unintentional, insider threats can compromise sensitive data and pose a significant risk to organizational security. By tracking user activity and establishing patterns of behavior, UEBA can help organizations identify and address potential insider threats before they lead to a data breach.
Furthermore, UEBA can assist organizations in streamlining their incident response processes. By automating the analysis of behavioral data, UEBA can provide security teams with real-time insights into potential security incidents. This can help organizations prioritize and respond to threats more effectively, minimizing the impact of cyber attacks and reducing the time it takes to remediate security incidents.
However, despite its potential benefits, UEBA is not without its limitations. One of the challenges of implementing UEBA is the sheer volume of data that organizations must collect and analyze. Monitoring user and entity behavior generates a vast amount of data, which can be overwhelming for organizations without the necessary resources and infrastructure to process and interpret this data effectively.
Moreover, UEBA is not a foolproof solution to cybersecurity threats. While it can detect suspicious behavior and help organizations respond to incidents more efficiently, it is not a substitute for a comprehensive cybersecurity strategy. Organizations must still invest in other security measures, such as robust access controls, encryption, and employee training, to strengthen their overall security posture.
In conclusion, UEBA can be a valuable tool for organizations looking to bolster their cybersecurity defenses. By analyzing user and entity behavior, UEBA can help organizations detect and respond to security threats more effectively, ultimately reducing the risk of data breaches and cyber attacks. However, organizations must be mindful of the challenges and limitations of UEBA and supplement it with other cybersecurity measures to ensure comprehensive protection against evolving cyber threats.
In Conclusion
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