Qevlar AI
Autonomous alert investigation platform for SOC teams and MSSPs
ToolTier 1 SOC AutomationCloud
Reviewed by the Cyber Vendor Guide editorial team against the public sources cited below · Last reviewed July 2026 · How we review listings
What is Qevlar AI?
Qevlar AI is an autonomous SOC investigation platform founded in Paris, France in 2023. It connects to an existing detection stack via API, investigates alerts from connected tools, correlates related activity into unified incident narratives with blast-radius mapping, and recommends containment actions while keeping analysts in oversight. The company describes a graph-based orchestration approach that uses LLMs for enrichment and summarization rather than core investigative reasoning. It sells to both enterprise SOC teams and MSSPs, with results surfaced in native consoles or Qevlar's own interface.
Best for: SOC teams and MSSPs that want alert investigations automated on top of an existing detection stack, including EU-based organizations.
Pros
- Reported customers include Mercedes-Benz and Sodexo, plus MSSPs such as Orange Cyberdefense, Atos, and ECI (Vestbee funding coverage)
- Raised a 30M dollar Series A in March 2026 led by Partech and Forgepoint Capital International, with EQT Ventures participating (Vestbee)
- Vendor reports roughly 10x faster investigations, to about three minutes per alert, as cited in funding coverage
Things to check
- Young company (founded 2023); check roadmap, support coverage, and references for your region
- Investigation-time and automation metrics come from the vendor and funding coverage; validate on your own alert volume
- No public pricing, and no self-hosted option is advertised; check data residency and hosting requirements
Reported in public reviews and vendor documentation. See sources below.
Key Features
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Sources & references
Where the information on this listing comes from. Always verify pricing and capabilities against the vendor before a purchasing decision.
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