What is Segura User Behavior Analytics
Segura User Behavior Analytics (UEBA) is the central analytical engine of the Segura platform for detecting and responding to risks based on the behavior of users, applications, and services that access privileged resources.
UEBA continuously monitors, learns, and correlates the activity patterns of users throughout the privileged access journey, from consulted credentials, open sessions (RDP, SSH, Web, APIs), executed commands, to browsing patterns and secret queries.
Main objectives
- Adaptive and dynamic security: identify risks in real time from behavioral deviations, automate responses, and reinforce the principle of Zero Trust.
- Continuous compliance: generate detailed audit trails, detect violations of internal policies or regulations (SOX, LGPD, GDPR, among others).
- Reduction of internal risks: quickly detect internal threats, improper use of credentials, and signs of compromised accounts, imposters, or bots.
- Intelligent automation: enable automated orchestration of responses (MFA, blocks, revalidations, revocations, SIEM/SOAR alerts) without manual intervention.
- Operational optimization: facilitate efficient management of privileged access, minimize false positives, and reduce the overload for security teams.
Main differences of Segura's Behavior Engine
- Dynamic behavioral profile (baseline): uses machine learning to build unique profiles per user, resource, and credential, considering time, origin, sequence of actions, typing patterns (keystroke dynamics), commands, and navigation flows.
- Multivector and adaptive detection: correlates behavioral and technical signals (device, network, location, context, SIEM/SOAR integration) to identify subtle deviations or sophisticated attacks.
- Automatic and orchestrated responses: triggers automatic responses based on the detected risk, from adaptive MFA and session blocking to integration with external containment systems (SOAR, SIEM, ITSM).
- Real-time and post-event analysis: monitors privileged sessions in real time (RDP, SSH, Web, database, APIs) and also performs retrospective analyses of recordings and logs.
- Native integration with Segura modules: Behavior Analytics operates transversally, integrating data and decisions with the PAM, Discovery, Executions, A2A, Secrets, and Segura Intelligence IA modules, strengthening the entire adaptive security strategy.
- Enrichment with Threat Intelligence: capable of consuming external intelligence signals (SIEM, SOAR, threat feeds), increasing the accuracy of triggers and allowing contextual and proactive responses.
- Orchestration of adaptive policies: supports execution of dynamic policies (Just-in-Time, Zero Standing Privilege, step-up auth) based on risk and real-time context.
- High auditability and transparency: all events, decisions, and responses are logged and exportable for audit trails, compliance reports, and forensic investigations.
Connection with other Segura modules
The Behavior Engine acts as an analytical and decision-making layer throughout the platform, interacting natively with:
- PAM Core: enhances the detection of anomalous use of credentials, sessions, and commands.
- Discovery: correlates newly discovered assets and emerging access patterns.
- Executions: reinforces controls and triggers in sensitive automations (e.g., rotation of risky credentials).
- A2A and Secrets Management: monitors the use of secrets by applications, APIs, and automations, blocking or revoking non-standard access.
- Segura Intelligence (AI): takes advantage of generative AI to summarize sessions, suggest responses, and enrich adaptive detection.
Central value
With User Behavior Analytics, the Segura platform transforms raw privileged access data into actionable intelligence, allowing organizations to migrate from a reactive to a proactive and adaptive posture in facing threats, internal risks, and regulatory demands.