Integrations
Connects to 90+ integrations spanning SIEM, EDR, XDR, cloud environments and identity platforms. Queries run via API against your existing tools, with no data lift or log normalization required.
An autonomous agent that runs threat hunts across your security stack
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Dropzone Threat Hunter is a cybersecurity tool. Dropzone's AI Threat Hunter is an autonomous agent that runs scheduled or on-demand threat hunts across SIEM, EDR, cloud and identity tools via 90+ API integrations. It generates hypotheses, filters large telemetry volumes and returns analyst-ready case reports, with prebuilt hunt packs or custom hunts.
AI Threat Hunter is an autonomous agent from Dropzone AI that runs hypothesis-driven threat hunts across a security team's SIEM, EDR, cloud and identity tools. Rather than handing analysts a query builder and a blank page, it conducts the hunt end to end: it generates hypotheses, tests them against live telemetry, follows the evidence through whatever tools hold it, and returns a finished case file. Dropzone positions the product as a way to make hunting a scheduled, repeatable SOC function instead of something that happens when an analyst finds spare hours. The workflow is built around a three-stage pipeline. Search at Scale uses federated lookups across 90+ integrations, and the vendor says a single hunt can pull up to half a million rows of telemetry without centralizing or normalizing logs first. Filter at Scale then applies data science and LLM processing in parallel to reduce that volume to anomalies worth attention. Investigate at Scale runs dozens of deep-dive investigations concurrently, work the company equates to 10 to 20 minutes of analyst time per lead. Dropzone states a typical hunt cycle falls from 10 to 20 hours manually to roughly 60 minutes, with no analyst time consumed during execution. Hunters can pick from a catalog of prebuilt hunt packs written by Dropzone's threat research team, covering emerging threat indicators, known actor behavior (Scattered Spider and Lazarus are named), active exploitation of critical CVEs, ATT&CK techniques such as lateral movement and living-off-the-land, and operational anomalies like MFA fatigue. Custom hunts can be framed around a specific risk or business concern. Reports also flag misconfigurations, shadow IT and vulnerabilities surfaced along the way, even when no attacker is present. The tool is aimed at SOC teams, MSSPs and federal security organizations that want continuous hunting but cannot staff it. It works alongside Dropzone's AI Threat Intel Analyst and AI SOC Analyst, where intelligence triggers hunts and hunts trigger investigations. Buyers should note it is sold through sales rather than self-serve, and the vendor explicitly frames it as augmenting analysts, not replacing the people who set hunting strategy.

Connects to 90+ integrations spanning SIEM, EDR, XDR, cloud environments and identity platforms. Queries run via API against your existing tools, with no data lift or log normalization required.
Autonomous hypothesis-driven hunts with Search, Filter and Investigate stages running at machine scale. Prebuilt hunt packs cover emerging threats, threat actors, CVE exploitation, ATT&CK techniques and operational anomalies, with custom hunts available. Federated search spans 90+ integrations and can surface up to half a million rows per hunt, returning analyst-ready case reports.
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