Need Help Prioritizing and Remediating Cloud Security Alerts?

Qevlar AI autonomously investigates every cloud security alert, highlights which need your attention, and suggests remedial action.

Improve incident response in cloud environments

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Connect the dots

Qevlar AI autonomously pulls, enriches, and analyzes data from disparate sources to trace incidents across multiple components and services. 

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Streamline alert investigation

Weed out false positives with conclusive results. SOC analysts can prioritize critical alerts and optimize efficiency and impact.

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Comprehensive insights at your fingertips

Qevlar AI seamlessly integrates data from your cloud tools, giving you a complete and clear picture of your cloud environment.

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Keep up with the evolving landscape

Unlike rule-based tools and playbooks, Qevlar AI continually learns and evolves to match the dynamic cloud security landscape.

End-to-end investigations in minutes, not hours

As soon as your SIEM/EDR tool triggers an alert about a potential network security threat, Qevlar AI gets to work. Within 90 seconds, the investigation is complete and:
  • The alert is conclusively determined to be malicious or not harmful
  • A comprehensive incident report is generated
  • Recommended remedial actions are suggested
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Qevlar AI product image
Qevlar AI product image
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Correlate data from disparate sources

Effectively identify even the most sophisticated network security threats with data automatically pulled, enriched, and analyzed from:
  • Cloud Activity Logs
  • Cloud Firewall Logs
  • Endpoint Security Logs
  • DNS Logs

Integrate anything

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Minimize risk with swift remediation

Comprehensive but easy-to-read incident reports summarize the outcome of the investigation, outline the data sources that were analyzed, and offer truly actionable next steps.

Want to help your analysts focus on the most critical alerts?

Book a demo call with us
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