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Context-Driven User and Entity Behavior Analytics

tbUEBA acts as the behavioral intelligence layer of CyberSIO, continuously learning normal user and entity behavior, validating anomalies using contextual telemetry, and delivering accurate, risk-based threat detection across the enterprise.

Contextual Behavioral Analytics

Detect meaningful deviations using identity, access, and operational context.

Dynamic Risk Scoring

Normalize behavioral risk on a real-time 0–100 scale. Updates risk in near real time as activity occurs

Day-One Learning

Delivers immediate value without lengthy deployment cycles. Ready on day one with pre-packaged models and content

SOC-Integrated Response

Enable faster investigation and automated containment.

 

[ Behavioral Intelligence Approach ]

Turning Behavior into Actionable Security Intelligence

Security teams struggle with alert overload and disconnected behavioral signals. tbUEBA addresses this by correlating deviations from baseline behavior with identity, network, cloud, and operational context, delivering accurate detections, prioritized risk, and confident response across the enterprise.

About Us
[ Behavioral Intelligence Approach ]

How CyberSIO tbUEBA Delivers Behavioral Intelligence

Detect & Prioritize

Investigate & Respond

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Contextual Behavioral Analytics
  • Dynamic behavioral baselines
  • Cross-domain telemetry validation
  • Identity and access context enrichment
  • Accurate anomaly detection
Dynamic Risk Scoring Engine
  • Normalized risk scoring (0–100)
  • Near real-time score updates
  • Automated risk prioritization
  • Clear SOC focus
Day-One Learning & Continuous Adaptation
  • Pre-packaged models
  • Continuous behavior learning
  • No static thresholds
  • Immediate detection value
Cross-Domain Telemetry Correlation
  • Identity, network, cloud correlation
  • Security and IT Ops data fusion
  • Structured & unstructured data support
  • Unified behavioral visibility
Insider Threat & Credential Misuse Detection
  • Login and access anomaly detection
  • Privilege misuse identification
  • Role-based behavior analysis
  • Early insider threat detection
Behavioral Risk Trends & Automated Response
  • Behavioral risk trend analysis
  • Real-time alerts
  • Automated ticketing & notifications
  • Faster containment
[ Cloud Security Approach ]
Unified Cloud Security, From Signals to Action

CyberSIO Cloud Security transforms fragmented cloud logs, identity signals, and workload behavior into actionable security outcomes, enabling faster detection, coordinated response, and consistent governance across multi-cloud and hybrid environments.

[ CyberSIO tbUEBA ]

CyberSIO tbUEBA FAQ

CyberSIO tbUEBA is built on context-driven behavioral intelligence, not isolated anomaly detection. While traditional UEBA tools generate large volumes of alerts, tbUEBA continuously correlates behavioral deviations with identity, network, cloud, security, and IT operations telemetry. This contextual validation ensures that only true security risks are elevated, significantly reducing false positives and analyst fatigue.

tbUEBA is ready from day one. It comes with pre-packaged machine learning models and baseline behavior profiles that begin learning immediately upon deployment. As activity continues, the system continuously adapts to environmental and behavioral changes, delivering accurate detections without long tuning or calibration cycles.

tbUEBA uses a dynamic, normalized risk scoring engine that assigns risk scores on a 0–100 scale. Scores are updated in near real time as user or entity behavior changes and as additional contextual telemetry is evaluated. This enables security teams to prioritize users, devices, and activities based on actual business and security impact, not alert volume.

Yes. Insider threats and credential misuse often manifest as subtle behavioral deviations. tbUEBA continuously monitors login patterns, command execution, access behavior, and file activity, correlating them with user roles and historical baselines. This allows early detection of malicious insiders, compromised credentials, and privilege abuse before damage occurs.

tbUEBA does not treat every anomaly as a threat. It cross-validates deviations from baseline behavior using adjacent telemetry across identity, network, cloud, and operational systems. By applying contextual awareness and machine learning, tbUEBA filters out benign anomalies and escalates only those events that represent genuine risk, dramatically reducing alert noise.

Yes. tbUEBA supports automated response workflows for high-risk behavioral events. It can raise real-time notifications, automatically create incident tickets in tbITSM, and send email alerts to administrators and management. This ensures faster containment and reduces reliance on manual intervention during critical incidents.

tbUEBA supports on-premises, cloud, and hybrid environments. It integrates with identity systems, SIEM platforms, cloud services, endpoints, network devices, and security tools, ensuring consistent behavioral visibility and risk assessment across diverse enterprise infrastructures.

Yes. tbUEBA is designed for enterprise, government, and critical infrastructure environments where accuracy, auditability, and scalability are essential. Its ability to reduce false positives, provide investigation timelines, and support automated incident handling makes it well suited for regulated sectors such as BFSI, government, defense, and infrastructure.

tbUEBA acts as the behavioral intelligence layer within the CyberSIO platform. It enhances tbSIEM, tbSOAR, identity controls, and risk management modules by providing contextual risk scoring and behavioral insights, strengthening the overall SOC-in-a-Box architecture.

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