Qevlar AI

Virtual Workers

Autonomous SOC analyst that triages and investigates security alerts in minutes with SIEM/SOAR integrations and flexible deployment.

Qevlar AI is an autonomous SOC analyst that automates end-to-end alert investigation and threat triage. It enriches signals from SIEM, EDR, and cloud sources, formulates hypotheses, runs checks, and documents conclusions directly into your tickets—cutting mean time to investigate to minutes. Built for enterprise security teams and MSSPs, Qevlar offers SaaS or private-cloud deployment, headless integrations with existing tooling, and has been adopted in large SOC environments and recognized by industry programs.

Industry: Productivity

Pricing: contact for pricing

Use cases: SOC analysts, incident responders, security engineers, CISOs, MSSP teams

Capabilities: Automating SOC alert investigation and threat triage., Reducing MTTI and analyst workload for high-volume SOCs., Enriching alerts with contextual data from SIEM/EDR/cloud tools., Creating investigation reports and updating tickets automatically., Deploying as SaaS or privately with headless integrations.

Tags: SOC analyst, alert investigation, incident response, threat triage, SIEM integration, SOAR workflows, EDR enrichment, autonomous remediation, enterprise security

• What SIEM and EDR platforms do you integrate with?
• Do you offer both SaaS and private-cloud deployment options?
• What factors influence your pricing for Qevlar AI?
• How does Qevlar AI reduce mean time to investigate alerts?