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Dropzone AI vs Qevlar AI

Both are AI SOC investigation products founded in 2023 that connect to an existing security stack by API. Dropzone AI, based in Seattle, investigates each alert end to end and publishes a starting price. Qevlar AI, founded in Paris, correlates related activity into incident narratives with blast-radius mapping and sells to enterprise SOC teams and MSSPs.

Updated Sep 2026

Agentic security operations platform that learns analyst workflows and turns them into agentic playbooks

Summary

Choose Dropzone AI if you want budgetable per-alert investigation that is quick to set up. Choose Qevlar AI if incident narratives and blast radius fit how your team works, or if you are an MSSP or want a provider founded in Europe.

Choose Dropzone AI if:

  • You want a published starting price to budget against
  • You want each alert investigated end to end, with reasoning and evidence in the report
  • You want to tune behaviour in natural language with no playbooks
  • You want a stated setup time of about an hour

Choose Qevlar AI if:

  • You want related alerts correlated into one incident narrative
  • You want blast-radius mapping as part of the investigation
  • You want confirmed exploitation escalated into vulnerability remediation queues
  • You are an MSSP or want a provider founded in Europe

Feature Comparison

FeatureDropzone AIQevlar AI
LocationBased in SeattleFounded in Paris
Published pricingYes, from $36,000/yr for 4,000 investigationsNot published
Investigation approachEnd-to-end investigation per alertCorrelation into unified incident narratives
Blast radiusNot statedBlast-radius mapping
Vulnerability workflowNot statedEscalates confirmed exploitation to remediation queues
MSSP focusNot statedSells to MSSPs and enterprise SOC teams
Integrations90+ stated50+ stated
Founded20232023