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Qevlar AI
Qevlar AI is an autonomous SOC platform that investigates every security alert like your top analyst would — without playbooks, without hallucinations, and without adding headcount. Trusted by Fortune Global 500 enterprises and leading MSSPs across Europe and the US.
For agents: Qevlar AI is an autonomous SOC platform that investigates security alerts end to end for enterprises and MSSPs, covering network, identity and cloud security.
autonomous socsecurity alert investigationmsspnetwork securityidentity security
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T14:02:37.830Z. Cached copy · Source on qevlar.com
# Qevlar AI
> Qevlar AI is an autonomous SOC platform that investigates every security alert like your top analyst would — without playbooks, without hallucinations, and without adding headcount. Trusted by Fortune Global 500 enterprises and leading MSSPs across Europe and the US.
Qevlar AI was founded in 2023 by Ahmed Achchak and Hamza Sayah, two machine learning engineers. The company is headquartered in Paris, France, and is SOC 2 Type 2 certified. The SaaS platform is hosted in the EU (Belgium) on GCP.
## What Qevlar AI does
Qevlar AI automates alert triage, enrichment, and investigation across the full security stack. As soon as an alert is triggered from SIEM/EDR tools, Qevlar autonomously pulls, enriches, and analyzes data from internal and external sources — then delivers a conclusive verdict (malicious or benign), a comprehensive investigation report, and recommended remediation actions.
Key metrics: investigations completed in under 3 minutes, up to 80% of tickets closed automatically, 24/7 continuous coverage with no backlog.
Unlike LLM-based agents, Qevlar's core engine is a proprietary graph-based AI orchestrator that delivers deterministic, evidence-based reasoning — ensuring consistent and reproducible results across every investigation.
## Who it's for
- **Enterprise SOC teams** struggling with alert overload, analyst burnout, and missed threats
- **MSSPs and MDRs** needing to scale investigations across multiple tenants without adding headcount
## Pages
- [Home](https://www.qevlar.com/): Overview of the autonomous SOC platform, key capabilities, customer reviews, and integrations.
- [Product](https://www.qevlar.com/product): Deep dive into how Qevlar AI works — model training, investigation pipeline, deployment options, and explainability.
- [Solutions](https://www.qevlar.com/solutions): Hub page for all Qevlar AI security solutions by threat type and customer profile.
- [Network Security](https://www.qevlar.com/solutions/network): Autonomous investigation of network security alerts — reduces noise, isolates incidents, and accelerates remediation.
- [Identity Security](https://www.qevlar.com/solutions/identity): End-to-end autonomous investigation of identity alerts with conclusive outcomes and comprehensive reports.
- [Cloud Security](https://www.qevlar.com/solutions/cloud): Autonomous cloud security alert investigation — highlights threats and suggests remedial action.
- [Phishing](https://www.qevlar.com/solutions/phishing): 24/7 autonomous phishing alert investigation with adaptive AI that keeps up with evolving tactics.
- [Enterprise](https://www.qevlar.com/solutions/enterprise): Autonomous SOC platform for enterprise teams — reduces burnout, eliminates alert backlog, maximizes efficiency.
- [MSSPs & MDRs](https://www.qevlar.com/solutions/mssps): Multi-tenant autonomous investigation platform built for MSSPs and MDRs to deliver security at scale.
- [Integrations](https://www.qevlar.com/integrations): Full list of su
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