Insider threats are a big challenge for companies today. These are people who already have access to company systems and information, making them harder to detect if they misuse that access.
That’s where User and Entity Behavior Analytics (UEBA) tools help. These tools watch how employees and devices normally use systems like when and what files they open or how much data they access. Using smart technology, UEBA learns what “normal” behavior looks like.
If something unusual happens – like a user downloading lots of data, accessing files they never use, or logging in from a strange location – the tool sends an alert. This helps security teams check if it’s an insider threat, a hacked account, or a rule violation.
Why companies need UEBA
- Spot insider threats early.
- Detect hacked or compromised user accounts.
- Cut down false alarms through behavior-based alerts.
- Support compliance and audit requirements.
Below are the top 7 UEBA Tools to Strengthen Insider Threat Security :
- Exabeam UEBA
- Splunk User Behavior Analytics
- Securonix UEBA
- Microsoft Defender Insider Risk Management
- IBM QRadar UEBA
- Rapid7 InsightIDR
- LogRhythm UEBA
1. Exabeam UEBA
Exabeam is a comprehensive SIEM solution based on modern technology. Exabeam uses advanced analytics to identify abnormal and risky activity without predefined correlation rules or threat patterns. It provides meaningful alerts without requiring heavy setup and fine tuning, and with lower false positives.
Exabeam can stitch together related security events into a timeline that shows a security incident, spanning multiple users, IP addresses and IT systems.
Exabeam not only performs behavioral baselining of individual entities, it also dynamically groups similar entities (such as users from the same department, or IoT devices of the same class), to analyze normal collective behavior across the entire group and detect individuals who exhibit risky behavior.
2. Splunk User Behavior Analytics
Splunk helps organizations find known, unknown and hidden threats using machine learning, behavior baseline, peer group analytics, and advanced correlation to find lurking APTs, malware infections, and insider threats. It addresses security analysts and hunter workflows, requires minimal administration, and integrates with existing infrastructure to locate hidden threats.
The threat detection capabilities in Behavioral Analytics extend the search/pattern/expression (rule) based approaches currently in Splunk and Splunk Enterprise Security for detecting threats.
3. Securonix UEBA
Securonix UEBA watches how people and devices usually behave. When something unusual happens, it flags it as a possible insider threat or security risk. It uses built-in intelligence to recognize suspicious actions without needing constant manual setup.
Securonix can also track activity in cloud apps and platforms, giving visibility beyond on-premise systems. The system watches what users usually do and compares it to what they are doing in real time. If it sees risky or unusual actions, it can alert the team early to help prevent insider-related problems.
4. Microsoft Defender Insider Risk Management
Microsoft Defender Insider Risk Management (IRM), part of Microsoft Purview, is a compliance solution that helps organizations detect, investigate, and act on data risks from malicious or inadvertent user actions, like IP theft, data leaks, or fraud, by correlating signals from Microsoft 365 and other sources, using machine learning to identify anomalies, and integrating with Defender XDR for comprehensive security.
It focuses on internal threats by analyzing user activity patterns, such as unusual file downloads, mass deletions, or data exfiltration, to provide insights and enable proactive mitigation, respecting user privacy by default.
5. IBM QRadar UEBA
The QRadar solution is a tool for detecting insider threats in your organization. It is built on top of the app framework to use existing data in your QRadar to generate new insights around users and entity risk. Its UEBA module adds two major functions to QRadar: risk of user and entity, and unified user identities.
Risk profiling is done by assigning risk to different security use cases. Risk is assigned to each one depending on the severity and reliability of the incident detected. UEBA uses existing event and flow data in your QRadar system to generate these insights and profile risks of users.
UEBA uses three types of traffic that enrich UEBA and enable more use cases to profile risk. The three types are as follows:
- Traffic around access, authentication, and account changes.
- User behavior on the network, so devices such as: proxies, firewalls, IPS, and VPNs.
- Endpoint and application logs, such as from Windows or Linux, and SaaS applications.
6. Rapid7 InsightIDR
Rapid7 InsightIDR uses User and Entity Behavior Analytics (UEBA) as a core component within its cloud-native SIEM/XDR platform to detect hidden threats, especially insider threats or compromised accounts, by establishing normal user behavior and flagging unusual activity like lateral movement or risky logins, providing automated investigation timelines for faster response to attacks missed by traditional security.
7. LogRhythm UEBA
LogRhythm uses ML to detect anomalies related to potential user attacks such as insider threats,compromised accounts, administrator abuse, and misuse.
Together, LogRhythm UEBA and the field-proven threat models of the LogRhythm SIEM AI Engine deliver holistic analysis and deep visibility into user activity and outliers that would otherwise go undetected.
It also detects changes in user behavior that signal potential threats. Analysts can use the individual anomaly scores and a summary user score to prioritize anomalies for investigation and response.
Conclusion
Insider threats can be intentional, unintentional, and can be potential risks and threats for any organization. UEBA solutions give an insight and help identify unusual activities at an earlier stage and take preventive measures before it is too late.
UEBA is not an investment for detection, but for protection, improved security operations, and trust.
