Gatekeeper and UBA: User Behavior Analytics

User Behavior Analytics (UBA) is a security approach that monitors user actions to detect anomalies. Combined with the Gatekeeper, it watches what happens after login and exposes internal threats that access control alone cannot capture.

• What is User Behavior Analytics (UBA)?
• What is the difference between Gatekeeper and UBA?
• How does UBA identify internal threats?
• Gatekeeper + UBA in practice: how to do the integration
• What are the benefits of integration for internal security?
• Conclusion

What is User Behavior Analytics (UBA)?

User Behavior Analytics (UBA) is an information security approach that continuously evaluates and monitors user behavior within a system or network to identify suspicious activities, anomalous behavior, and potential threats. Instead of looking only at credentials, UBA looks at usage patterns.

To do this, UBA employs machine learning and real-time data analysis to build profiles of each user typical behavior: usual access times, systems used, volume of data moved, and connection location. With these profiles as a baseline, the system detects significant deviations — unauthorized access, unusual data movement, or intrusion attempts.

The main advantage of UBA is its ability to identify internal threats: malicious or negligent actions performed by legitimate users who already have access to the environment. A firewall does not block the employee who exports the customer database right before resigning, because their credential is valid; UBA flags this behavior because it deviates from that user historical pattern.

The concept has also evolved into UEBA (User and Entity Behavior Analytics), which extends the same analysis to non-human entities such as devices, servers, and applications — an approach now incorporated into the leading detection and response platforms on the market.

What is the difference between Gatekeeper and UBA?

The Gatekeeper controls access at the front door: it authenticates users, enforces policies, and decides who can enter each resource. UBA acts in the next step: it monitors what the authenticated user does inside the system and flags behavior deviations. One layer prevents unauthorized access; the other detects the abuse of a legitimate access.

Because of this complementarity, integrating the two layers covers the full cycle: the Gatekeeper reduces the attack surface at entry and UBA ensures visibility over everything that happens after authentication, including scenarios of remote access protected by the Gatekeeper, where the traditional perimeter ceases to exist.

How does UBA identify internal threats?

UBA identifies internal threats by comparing each action against two references: the user own history and the behavior of peers with a similar role. When a financial analyst starts accessing engineering repositories at 3 a.m., the deviation triggers a real-time alert, even with valid credentials and permissions.

The numbers show why this layer matters. According to the Verizon Data Breach Investigations Report 2025, about 60% of data breaches involve the human factor — error, social engineering manipulation, or malicious use of credentials. The Ponemon Institute Cost of Insider Risks 2025 report, sponsored by DTEX, estimates the average annual cost of internal risks at $17.4 million per organization, with an average containment time of 81 days per incident.

Detection time is the factor that weighs most on the loss. The IBM Cost of a Data Breach Report 2025 points to an average global cost of $4.44 million per breach and an average cycle of 241 days to identify and contain each case. UBA attacks exactly that interval: by flagging anomalies the moment they occur, it shortens the window between suspicious behavior and the security team response.

Among the typical signals UBA captures are unauthorized access attempts, massive data transfers, unauthorized configuration changes, privilege escalation, and any pattern that strays from the user established routine.

Gatekeeper + UBA in practice: how to do the integration

Integrating the Gatekeeper with UBA capabilities turns access logs into actionable security intelligence. The recommended path follows five steps:

1. Centralize the records: send Gatekeeper authentication, authorization, and session logs to the UBA or SIEM (Security Information and Event Management) platform, ensuring a complete trail of who accessed what and when.
2. Establish the baseline: let the tool learn normal behavior for a few weeks before activating automatic blocks, reducing false positives early in the operation.
3. Configure alerts by severity: prioritize high-impact anomalies, such as data exfiltration and privilege escalation, so as not to drown the team in irrelevant notifications.
4. Reinforce the front door: combine behavioral analysis with multifactor authentication (MFA) integrated with the Gatekeeper, so that a UBA alert can require immediate reauthentication of the suspicious user.
5. Define the response playbook: document who investigates each alert type, in what time frame, and with which corrective actions — from session suspension to legal escalation.

What are the benefits of integration for internal security?

The combination of Gatekeeper and UBA delivers an adaptive defense that neither layer achieves alone. The most immediate gain is early detection: suspicious patterns are flagged in real time, which reduces incident response time and limits damage before it becomes a large-scale breach.

The second benefit is coverage of internal threats, historically the blind spot of perimeter controls. Malicious employees, accounts compromised by phishing, and negligence errors become visible, because behavioral analysis does not depend on known attack signatures — it depends on deviations from the normal learned by machine learning models applied to detection.

There is also an organizational effect: with prioritized alerts and clear playbooks, the security team stops reacting to already-consumed incidents and starts acting proactively. For teams structuring this journey, CodeCrush maintains a complete series on the topic, including the implementation challenges and the existing types of gatekeeper.

Conclusion

Treating authentication as the finish line is the most common mistake in corporate security: a valid credential does not mean legitimate intent. Integrating the Gatekeeper with UBA corrects this premise by watching behavior after login — and, with internal threats costing an average of $17.4 million per year, behavioral analytics has ceased to be an optional advanced feature and become a basic requirement of any mature security program.