Qevlar AI
Autonomous SOC analyst that triages and investigates security alerts in minutes with SIEM/SOAR integrations and flexible deployment.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Qevlar AI, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
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.
Key features
- SOC analyst
- alert investigation
- incident response
- threat triage
- SIEM integration
- SOAR workflows
- EDR enrichment
- autonomous remediation
- enterprise security
Use cases
- 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.