Q-Behavior Analytics and Audit (Q-BA2 )
Proactively detect insider threats before they disrupt your mission.
With Q-Behavior Analytics and Audit (Q-BA2), ClemTech LLC helps you gain real-time visibility into user activity across your environment by:
- Detecting anomalous behavior with AI and machine learning powered by Splunk machine data
- Triggering risk-based alerts to identify insider threats and potential breaches quickly
- Monitoring user and host activity to uncover unauthorized access, privilege abuse, and data exfiltration
- Supporting audit readiness with out-of-the-box alignment to ICS 500-27, NIST, FedRAMP, CMMC, and SOC2
Download the solution brief to see how Q-BA2 strengthens insider threat detection and audit compliance — helping your security team investigate faster and respond with confidence.
What is Q-Behavior Analytics and Audit (Q-BA)?
Q-Behavior Analytics and Audit (Q-BA) is an advanced user behavior analytics and audit solution designed to address the security needs of both government agencies and commercial enterprises. It leverages AI-driven analytics to provide real-time insights, enabling organizations to proactively detect and mitigate insider threats while ensuring compliance with standards such as ICS 500-27, NIST, and FedRAMP.
How does Q-BA enhance threat detection?
Q-BA enhances threat detection through its AI and machine learning-driven analytics, which identify anomalous user behavior in real-time. It triggers risk-based alerts for potentially risky activities, allowing security teams to quickly respond to insider threats and potential security breaches. Continuous monitoring of user and host activity further supports this proactive approach.
What compliance standards does Q-BA meet?
Q-BA is designed to meet several compliance standards out of the box, including ICS 500-27, NIST, FedRAMP, CMMC, and SOC2. This built-in compliance capability reduces manual efforts and costs associated with audit logging, while providing real-time tracking of security events to satisfy auditors.
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