Qevlar AI

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Overview

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

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Best For Professions:

SOC analysts incident responders security engineers CISOs MSSP teams

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.

Autonomy level

89%

Reasoning: Qevlar AI demonstrates exceptional autonomy in its operational domain of security alert investigation and triage. The agent autonomously performs complete end-to-end security investigations, including alert enrichment, contextualization, investigation, and triage without human intervention. Its autonomous investigation API executes complex security...

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Some of the use cases of Qevlar AI:

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.

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Pricing model:

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Code access:

closed-source

Popularity level: 68%