Dropzone AI

Agentic SOC: AI analysts that investigate every alert and hunt threats continuously.

Custom quoteAutonomous security operations (SOC) agents

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Quick Facts

DeveloperDropzone AI
Websitedropzone.ai
Agent typeAutonomous security operations (SOC) agents
Best forSecurity operations teams and MSSPs facing more alerts than analysts can investigate.
Not ideal forTeams looking for automated response actions without human review, or very small companies without a SIEM or EDR.
Pricing modelCustom quote (Base, Enterprise and MSSP tiers reported)
Starting priceCustom quote
Pricing detailsNo public pricing. A list price of about $36,000 per year for one AI SOC analyst covering 4,000 investigations was reported earlier; pricing is now sales-quoted.
Free planNo
Free trialDemo on request
ChannelsWeb console, integrations with SIEM, EDR and ticketing tools
What it does on its ownInvestigates alerts and runs threat hunts on its own, producing verdicts and evidence; humans decide on response.
IntegrationsMicrosoft Sentinel, Splunk ES, CrowdStrike, plus 80+ integrations reported
PlatformsWeb (SaaS)
Company HQSeattle, Washington, USA
Details last verified29 October 2026
CategoriesCybersecurity, Enterprise
User ratingNo reviews yet

Dropzone AI says its agents protect more than 300 companies, and in one hunt its AI cut 464,000 security events down to nine findings. The Seattle company sells AI analysts that pick up alerts from a security team’s tools, investigate each one and return a verdict with the evidence behind it.

A study it ran with the Cloud Security Alliance across 148 analysts found AI-assisted investigations were up to 29% more accurate and up to 61% faster.

How It Works

Dropzone connects to a company’s SIEM, EDR, cloud, identity and ticketing tools. When an alert lands, the AI SOC analyst queries those systems, groups related alerts into a single case and writes up a summary, a verdict and a work log of every step. It does not need prebuilt playbooks, which is where many older automation tools stall.

In 2026 the company added the AI Threat Hunter, which runs continuous hypothesis-driven hunts from more than 250 prebuilt hunt packs or a custom goal, and an AI Threat Intel Analyst that turns new CVEs or attacker campaigns into hunts. Customers named by Dropzone include Avalara, UiPath and Zapier, and Leidos is deploying it in federal SOCs.

Pricing

Dropzone does not publish prices. One analysis reported an earlier list price of about $36,000 a year for one AI SOC analyst covering 4,000 investigations, before the company moved to quoted Base, Enterprise and MSSP tiers. Treat that figure as a reference point, not a quote. There is no free plan or self-serve trial; buyers book a demo. The reported tiers split shared-tenancy Base deployments from single-tenant Enterprise ones, with a multi-tenant option for MSSPs that run security operations for many clients.

What to Watch Out For

Dropzone investigates and recommends; containment and remediation stay with the security team or other tools. Results depend on how many data sources are connected and how clean they are. Because cost has been tied to investigation volume, noisy detection rules can push spending up, so tune alerts before rollout. Ask for evidence of accuracy on your own alert types during a trial.

Recent News

Dropzone launched its AI Threat Hunter on March 18, 2026 and made it generally available on July 29, 2026. In January 2026 it said it closed 2025 with 11x ARR growth, after raising a $37 million Series B the previous July.

Features

  • AI SOC analyst that investigates every alert
  • Groups related alerts into one investigation
  • AI Threat Hunter with 250+ prebuilt hunt packs
  • AI Threat Intel Analyst that turns new threats into hunts
  • Full work log of each query and reasoning step
  • Multi-tenant setup for MSSPs

Pros and Cons

Pros

  • Investigates without hand-built playbooks
  • Transparent work logs for analyst review
  • Deployed in 300+ environments, per the vendor
  • Strong traction, with 11x ARR growth reported for 2025

Cons

  • No public pricing
  • Focuses on investigation
  • response stays with humans
  • Value depends on the quality of connected security data
  • Costs scale with investigation volume

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