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    The Significance of User Behavior Analytics in Data Security

    User Behavior Analytics (UBA) refers to a class of cybersecurity tools deployed to analyze user behavior on networks and other systems. It applies advanced analytics to detect anomalies and malicious behavior. UBA systems are mainly meant to offer actionable information to cybersecurity teams. These can be used to uncover data security risks that cannot be seen by conventional security methods, such as malicious insiders and privileged account breaches.

    On the other hand, User and Entity Behavior Analytics (UEBA) requires behavioral analysis of non-user entities, such as routers, servers, and endpoints. UEBA is much more efficient because, in order to detect complex threats, it can examine activity across multiple users, IT devices, and IP addresses.

    UEBA: How Does It Work?

    UEBA solutions operate by providing a baseline of behavior for entities and users. To construct these baselines, data on typical habits and activity is gathered and analyzed for trends. UEBA sensors then track processes and use these baselines as a guide to which new data is compared.

    The development of baselines is what helps UEBA to detect risks, such as insider theft, that conventional instruments cannot. It is graded as a risk score based on its deviation from the baseline when data that does not fit the baseline is detected. A warning is sent to your security team if the operation crosses a certain level of risk.

    UEBA: How Does It Help Organizations?

    User behavior analytics solutions assist you in detecting security risks that cannot be seen through conventional methods based on signatures, correlation laws, or fundamental statistical analysis.

    Finding Compromised Accounts: UBA / UEBA may recognize hacked user accounts because they display anomalous behavior relative to the actual user of the company.

    Identifying Malicious Insider Threats: Insider threats are significant and are incredibly challenging to identify through conventional security tools because these attacks use legitimate passwords, computers, and access privileges. By observing their actions compared to identical, non-malicious users, UBA / UEBA instruments may classify malicious insiders.

    Identifying Privileged Account Abuse: UBA / UEBA helps track administrative or escalated privilege accounts to ensure that their appointed owner or others do not misuse them. Policy breaches or negligent acts that are not full-blown assaults, but may have detrimental consequences, are privileged account issues.

    Monitoring Cloud Security: Cloud assets are dynamically provisioned and used remotely, making it challenging to capture them with conventional tools. UBA / UEBA will look at cloud-based assets to figure out whether they behave normally or abnormally as a group.

    Entity monitoring: IoT devices such as vital medical devices or sensors deployed in the field can be tracked using UEBA. It is possible to use behavioral analysis to create a standard for the actions of groups of similar IoT devices and recognize when a device displays anomalous behavior.

    User Behavior Analytics Solutions: Key Capabilities

    The following are capabilities that characterize a complete user behavior analytics solution:

    • The solution should be able to gather, track, and interpret activity information from IT systems and establish a behavioral baseline for network entities.
    • Detect anomalous activity-a deviation from the behavioral baseline-that is essential and may signify an insider attack or other security threat.
    • Using machine learning and advanced analytics allows unknown threats to be identified and learned from large data sets, even though an attack has never been seen before.
    • A UBA / UEBA solution can distinguish security events through multiple users, organizations, or IPs and integrate data from several sources, such as anti-malware, firewall, proxies, DLP, and VPN, merging multiple activities into one security incident.
    • UBA / UEBA technology must collect real-time data and notify security analysts soon after an event has occurred to be successful as an incident response method.

    Conclusion

    With ever-increasing incidences of cyber-attacks costing organizations in millions, having a comprehensive EUBA solution would go a long way in detecting and preventing data privacy and data breaches. Also, it would be immensely helpful in meeting mandatory compliance guidelines.

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