Dropzone AI vs Qevlar AI

Dropzone AI

Dropzone AI provides an AI SOC analyst that autonomously investigates security alerts end to end, covering phishing, endpoint, network, cloud, identity and insider threat alert types, and presents its reasoning and evidence in each report. It is delivered as SaaS and connects to an existing security stack through API integrations, with the company stating deployment takes about an hour and requires no playbooks or coding. The company was founded in 2023 by Edward Wu and is based in Seattle.

Pros
  • Raised a $16.85M Series A led by Theory Ventures with participation from Decibel Partners, Pioneer Square Ventures and In-Q-Tel (Pulse2)
  • Raised a further $37M round in 2025, per GeekWire coverage
  • Finalist in the 2024 RSAC Innovation Sandbox Contest (Pulse2)
  • Publishes a starting price, which is uncommon among AI SOC vendors
  • A customer CISO (Lemonade Insurance) reported resolving issues in a fraction of prior time (Pulse2)
Things to check
  • Published pricing starts at $36,000 per year, which may be beyond smaller teams' budgets
  • Core scope is alert investigation and triage; the threat hunting and threat intel agents are listed as launching Summer 2026, so buyers should verify current availability
  • Requires API access into the existing security stack, which some organizations may need to review

Pricing: Published pricing starts at $36,000 per year for 4,000 investigations, with cost tied to investigation volume rather than seats (per official site)

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.

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

Pricing:

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