Almond automates 80% of cyber alert responses with Qevlar AI

Discover how Almond improves their alert responses and reduces mean time to remediation to under 5 minutes.

> 80%*

Cases handled autonomously

Advanced AI algorithms process and resolve the majority of security alerts without human intervention.

< 5 min*

Mean Time to Remediation

Rapid threat detection and automated response reduces critical security incident resolution time.

About Almond

Almond is a leading MSSP with 450 experts offering end-to-end solutions to address cyber defense challenges including anticipation, protection, detection, response, restoration, and governance.

Why Qevlar AI was needed:

• Handle growing volume of alerts without overloading SOC analysts
• Reduce Mean Time to Remediation (MTTR)
• Amplify existing SOC tools effectiveness during high-load scenarios
• Free up expert analysts to focus on complex cases

The Results:

• Mean Time to Response (MTTR) reduced to under 5 minutes
• Over 80% of alerts processed through autonomous investigation
• Strategic redistribution of SOC resources toward critical thinking and proactive security initiatives

Published on

July 16, 2025

Updated on

April 14, 2026

Qevlar AI enhances Almond CWATCH SOC’s ongoing optimization, joining Almond’s ecosystem of SOAR, SIEM, XDR, and its platforms ITERA (managed-as-code detection) and M&NTIS (attack simulation and cyber defense).