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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
*35% improvement from baseline
< 5 min*
Mean Time to Remediation
Rapid threat detection and automated response reduces critical security incident resolution time
*87% faster than industry average
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.
MSSP
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
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).
Thank you for you interest!
Your request has been successfully sent!
We appreciate your interest in booking a demo with us. Our team will review your request and get back to you within the next 24 hours.
What's Next?
One of our representatives will contact you shortly to schedule your demo.
In the meantime, feel free to explore our product features, read our customer success stories, or check out our blog for more information.