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Qmulos Launches Q-Behavior Analytics and Audit (Q-BA2) to Detect & Mitigate Insider Threats with AI-Driven User Behavior Analytics, Expanding Capabilities of Q-Audit

Qmulos Launches Q-Behavior Analytics and Audit (Q-BA2) to Detect & Mitigate Insider Threats with AI-Driven User Behavior Analytics, Expanding Capabilities of Q-Audit

Qmulos: Real-Time Compliance Automation. (PRNewsfoto/Qmulos)

Built on the intelligence community’s gold standard for insider threat detection,ย Q-BA2ย delivers real-time, data-driven insights to proactively identify, investigate,ย and mitigate security threats

Qmulos, a next-generation compliance, security, and risk management automation provider, today announced it has launched an advanced user behavior analytics (UBA) and audit solution, Q-Behavior Analytics and Audit (Q-BA2), designed to meet the mission-critical needs of government agencies and commercial enterprises. Built on the intelligence community’s gold standard for insider threat detection, ICS 500-27, Q-BA2ย delivers real-time, data-driven insights to proactively identify, investigate, and mitigate security threats across an organization’s network.

Also Read:ย How Edge Computing is Accelerating AI Workloads for Enterprises

Q-BA2ย is an all-in-one solution that provides advanced insider threat detection and prevention, robust security auditing and rigorous compliance capabilities. Leveraging AI/ML-powered anomaly detection and Splunk’s powerful data and analytics platform, Q-BA2ย delivers full spectrum visibility into user and entity behavior with continuous monitoring, anomaly detection, and dynamic real-time alerting. Q-BA2ย provides out-of-the-box compliance with ICS 500-27, NIST, FedRAMP, CMMC, SOC 2, and other frameworks.

“The greatest cybersecurity threats don’t always come from the outside โ€“ they often originate within. Advanced user behavior analytics and insider threat detection provide organizations with the critical ability to detect anomalies, mitigate risks, and protect sensitive data before damage is done,” saidย Matt Coose, Qmulos CEO.

Key Capabilities & Benefits of Q-BA2ย Include:

ENTERPRISE-GRADE USER BEHAVIOR ANALYTICS

  • Early Threat Detectionย โ€“ Detects anomalous user behavior in real-time using AI/ML-driven analytics.
  • Risk-Based Alertsย โ€“ Triggers alerts based on risky behavior to quickly identify insider threats and potential security breaches.
  • Comprehensive Visibilityย โ€“ Provides security teams with rich insights via comprehensive actionable dashboards

AUDIT & COMPLIANCE READINESS

  • Prescriptive audit policy as the foundation for complete and quality data
  • 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

Also Read:ย Edge Computing vs. Cloud AI: Striking the Right Balance for Enterprise AI Workloads

ADVANCED THREAT HUNTING & INCIDENT RESPONSE

  • Continuous Monitoringย โ€“ Monitors all user and host activity to detect privilege abuse, unauthorized access, and data exfiltration.
  • Score Risky Users and Hostsย โ€“ Prioritizes threats based on behavioral patterns and security context.
  • Rapid Investigation & Responseย โ€“ Security teams can triage alerts and respond to threats before damage occurs.

“Without a comprehensive insider threat solution, businesses are essentially flying blind to the dangers that may already exist within their walls. These types of safeguards are critical,” added Coose.

[To share your insights with us as part of editorial or sponsored content, please write toย psen@itechseries.com]

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