Q-Behavior Analytics and Audit (Q-BAA)

Proactively Detect & Mitigate Insider Threats with AI-Driven User Behavior Analytics Qmulos’ Q-Behavioral Analytics and Audit (Q-BAA) is an advanced user behavior analytics (UBA) and audit solution designed to meet the mission-critical security needs of government agencies and commercial enterprises. Built on the intelligence community’s gold standard for insider threat detection, ICS 500-27, Q-BAA delivers real-time, data-driven insights to proactively identify, investigate, and mitigate security threats across your network. Powered by Splunk machine data and enriched with artificial intelligence (AI) and machine learning (ML), Q-BAA delivers continuous monitoring, anomaly detection, and dynamic alerting, empowering security and compliance teams with unparalleled visibility into user activities. Key Capabilities & Benefits: Enterprise-Grade User Behavior Analytics • Early Threat Detection – Detects anomalous user behavior in real time using AI-driven analytics. • Risk-Based Alerts – Triggers alerts based on deviations from normal behavior to quickly identify insider threats and potential security breaches. • Comprehensive Visibility – Provides security teams with actionable insights via customizable dashboards. Audit & Compliance Readiness • Meets ICS 500-27, NIST, and FedRAMP audit standards out of the box. • Reduces manual efforts & compliance costs with automated audit logging. • Satisfies auditors with defensible, real-time security event tracking. Advanced Threat Hunting & Incident Response • Continuous Monitoring – Monitors all user and host activity to detect privilege abuse, unauthorized access, and data exfiltration. • Dynamic Risk Scoring – Prioritizes threats based on behavioral patterns and security context. • Rapid Investigation & Response – Security teams can triage alerts and respond to threats before damage occurs.