What Is UEBA?: Moving Beyond Traditional Security Methods
30.05.2023
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Have you ever felt helpless against insider threats and anomalous user behaviors? It can be frustrating to think your traditional security methods aren't enough to keep up with the evolving threat landscape.
But there is a solution! Let's discover how to stay one step ahead of attackers and ensure your organization remains secure with user and entity behavior analytics (UEBA)
User and entity behavior analytics (UEBA) is a revolutionary approach to cybersecurity that is rapidly gaining popularity in the industry. By analyzing data from various sources, UEBA can detect anomalous user and entity behaviors that may indicate an insider threat or external attack.
UEBA builds on its predecessor, User Behavior Analytics (UBA), by analyzing not only user behavior but also entity behavior, such as devices, applications, and networks. UEBA takes UBA's user behavioral analysis to the next level by using machine learning algorithms to identify patterns in behavior that are indicative of potential security threats.
The journey from UBA to UEBA has been marked by several innovative steps, including the integration of big data analytics and machine learning algorithms, as well as the ability to analyze data from multiple sources in real time.
These advancements have allowed UEBA to provide more accurate and timely detection of security threats, making it an essential tool for organizations looking to improve their cybersecurity posture.
UEBA works by collecting and analyzing data on user and entity behavior across an organization's network traffic. This includes monitoring activity logs, email traffic, and other data sources to identify patterns that may indicate a security threat.
Machine learning and AI algorithms are then used for anomaly detection, such as unusual login activity, suspicious user types, or unauthorized access attempts. Alerts are then sent to security teams, who can investigate further and take appropriate action.
To better understand the working mechanism, imagine your organization is a castle, and your employees are the guards at the gate. The problem is not all of your guards are trustworthy. Some may let in dangerous outsiders, while others may be compromised by threats from within.
UEBA acts as the watchful eye that helps you identify which guards are acting suspiciously. It does this by analyzing their behavior and looking for patterns that indicate potential threats.
For example, UEBA may detect that a security guard who has never worked the night shift suddenly appears at the guard post in the middle of the night or that one of the guards enters an important room with no duty.
Traditional security methods have been the norm for many years, relying heavily on pre-defined rules and signatures to detect threats. This approach has limitations, as attackers can easily bypass these rules and signatures by using new techniques or disguising themselves as authorized users.
This is where UEBA comes in as a game-changer. What makes UEBA different is it doesn't rely on pre-defined rules or signatures to detect threats. Instead, it uses machine learning algorithms to identify anomalous behavior that deviates from the norm. This means that UEBA security can detect threats that traditional security methods would miss, such as cyber insider threats with access to sensitive data or systems.
Furthermore, UEBA can also identify new and emerging threats by analyzing patterns across multiple users and entities. By detecting these threats early on, organizations can take proactive measures to mitigate them before any damage is done.
By utilizing UEBA, organizations can reap many benefits. First and foremost, UEBA provides real-time cyber threat detection capabilities. With traditional security methods, the detection of threats is often delayed, giving attackers more time to carry out their activities. UEBA's ability to detect anomalous behavior in real-time means that threats can be stopped before they can cause any significant damage.
Another key benefit of UEBA is its ability to reduce false positives. Traditional security methods often generate an overwhelming number of alerts, many of which turn out to be false alarms. UEBA’s advanced security can quickly differentiate between normal and abnormal user account behavior, minimizing the number of false positives and allowing analysts to focus on legitimate security incidents.
UEBA also provides valuable insights into user and entity behavior, enabling organizations to identify potential security risks before they escalate. By analyzing user behavior patterns, UEBA can detect unusual activity, such as anomalous data exfiltration and unauthorized access, that may indicate an insider threat. This allows organizations to prevent data breaches and other security incidents proactively.
In addition, UEBA can help organizations meet compliance requirements by providing detailed logs of user activity. This information can be used to demonstrate compliance with regulations, such as GDPR, HIPAA, and PCI-DSS.
Regarding UEBA implementation, organizations have two options: a standalone UEBA solution or a comprehensive cybersecurity solution that includes UEBA features.
While a standalone UEBA solution may seem like a viable option for some, it is important to consider the potential drawbacks, such as the need for additional resources and potential integration challenges.
On the other hand, a comprehensive cybersecurity solution with built-in UEBA features offers several benefits, including a streamlined implementation process and a more holistic approach to security.
Logsign empowers you to enhance your cybersecurity posture and mitigate organizational risks by offering a comprehensive set of features. Logsign UEBA is not just a standalone solution but an integrated part of Logsign SIEM.
Logsign's approach stands out due to its ability to provide actionable results and enable semi-automated or fully automated actions to address known issues, zero-day attacks, compromised accounts, and insider threats.
The built-in Incident Management and Response feature empowers security analysts to take appropriate actions in real time, ensuring peace of mind and eliminating the need to deal with known or unknown threats.
Logsign Next Gen Unified SIEM comes equipped with over 500 built-in correlation rules and benefits from the support of Logsign's own threat intelligence feeds, which draw from over 45 global sources to enrich the results.
Logsign UEBA benefits various comprehensive correlation techniques–including Risk Based, Rule-Based, Behavior Based, Threat Based, Historical Correlation, Vulnerability Based Correlation, and Cross-Correlation–which enable organizations to detect threats faster and respond more efficiently in real-time.
Logsign uses advanced analytics to provide an overview so organizations can prioritize tasks and gain clarity on cases by segregating users, devices, and incidents based on severity.
Logsign's Data Enrichment provides complete event information, including user details, hostname-matching IP addresses, network position, geo-location, and much more.
Logsign UEBA offers numerous benefits, making it a crucial component of a comprehensive cybersecurity solution that can fulfill all business requirements.
With the rise of sophisticated attacks and insider threats, it is more important than ever to have a proactive approach to cybersecurity. As cybersecurity threats continue to increase in complexity, UEBA is set to become an essential component of any comprehensive cybersecurity strategy.
Therefore, strengthening the cybersecurity posture for all organizations that want to shape the future of cybersecurity with user and entity behavior analytics (UEBA) is now much more than an option–it is an opportunity to make a difference.
You can get a live demo of Logsign SIEM to discover how to improve your organization's cybersecurity posture with its UEBA capabilities and other unique features.
