All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
Dropzone AI, founded in 2023, sells AI agents to enterprises and managed security service providers. Its AI SOC Analyst investigates security alerts and its AI Threat Hunter hunts for threats, both by querying tools a customer already runs. It has raised more than $57 million, including a $37 million Series B led by Theory Ventures. It reports more than 300 deployments, and named customers include Zapier, UiPath and the managed security provider CBTS. Leidos, an investor, partners with Dropzone AI to serve U.S. federal agencies. Microsoft and CrowdStrike offer AI agents for security teams and could extend them to cover other vendors’ tools. The customer ECS routes alerts through Dropzone AI into ServiceNow case management, so replacing Dropzone AI would mean rewiring that workflow.
| Description | Agentic SOC company whose AI agents autonomously investigate and triage security alerts and hunt threats, working through a customer's existing SIEM, EDR, cloud, identity, and email tools. | [f1] |
|---|---|---|
| Founded | 2023 | [f2] |
| HQ | Seattle, WA | [f3] |
| Funding | $57.35M total | [f3] |
| Latest funding | Series B, $37M (July 2025) | [f4] |
| Product | What it does |
|---|---|
| Dropzone AI SOC Analyst | AI agent that autonomously investigates security alerts end to end and delivers decision-ready reports, sold by annual investigation capacity. |
| Dropzone AI Threat Hunter | AI agent that runs scheduled or on-demand, hypothesis-driven threat hunts across a customer's SIEM, EDR, and cloud tools and returns investigated findings. |
Cyber Defense Matrix
| Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|
| Devices Workstations, servers, phones, tablets, storage, network devices, IoT infrastructure, and similar hardware. | |||||
| Applications Software, interactions, and application flows on the devices. | |||||
| Networks Connections and traffic flowing among devices and apps, plus communication paths. | |||||
| Data Content at rest, in transit, or in use across devices, apps, and networks. | |||||
| Users The people using the devices, apps, networks, and data. |
Dropzone AI SOC Analyst investigates alerts that a customer's existing security tools raise across endpoints, networks, identities, and data stores, and Dropzone AI Threat Hunter hunts across the same tools. Both apply AI to defend conventional assets and are mapped to the Cyber Defense Matrix. [f5]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score | Rationale |
|---|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 | Dropzone AI names its buyer and problem, security operations teams at enterprises and managed security service providers that receive more alerts than their analysts can investigate. A SOUPS 2026 study of practitioner discussions records how security teams use large language models. The cited independent sources do not quantify alert overload for Dropzone AI’s buyers. [s2, s12, s17] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | Dropzone AI documents how its analyst works, from forming hypotheses about each alert to querying a customer’s tools through access that defaults to read-only. The outside accounts in the record reach it through Dropzone AI. Its case-study pages carry Zapier’s and ECS’s descriptions, and Help Net Security reported a benchmark study of 148 security professionals that Dropzone itself ran. No independent technical evaluation of the product is cited. [s9, s2, s7, s8, s15] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 | Dropzone AI ties its founding to the public release of ChatGPT in 2022, three months earlier, a credible enabler for AI agents that investigate alerts. Its blog relays that the 2026 Gartner Hype Cycle for Security Operations moved AI SOC agents to its peak, and its investor Leidos said on March 10, 2026 that its customers want practical ways to use AI. Dropzone AI and Leidos are both interested parties, and a SOUPS 2026 study covers practitioner posts only through September 2025, so buyer demand is documented indirectly. [s5, s28, s21, s17] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | BankInfoSecurity reports that Edward Wu spent eight years at ExtraHop, a network detection and response vendor, ending in a role leading development of all its AI and machine-learning product capabilities. Wu has led Dropzone AI since its founding, and Google Patents lists Wu and Eric Hammerle as inventors on patents assigned to Dropzone AI. That is one verifiable prior in-domain build, with no exit or independently recognized publication record in the cited sources. [s12, s13, s27, s5] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 4/5 | SiliconANGLE reported more than 100 organizations using Dropzone AI’s product, naming UiPath, Zapier, Pipe Technologies, Mysten Labs, and the managed security provider CBTS. CB Insights lists IntrusionOps, CBTS, UiPath, and Assala Energy as customers, and Leidos announced a federal partnership and a strategic investment in March 2026. The 300-plus deployments and 11x ARR growth are Dropzone AI’s own figures. [s10, s16, s21, s2, s22] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | SecurityWeek reports that Dropzone AI raised $37 million in a Series B funding round led by Theory Ventures, bringing the total raised by the company to more than $57 million. CB Insights records the total as $57.35 million. The raise fits an enterprise and managed-service sales motion that keeps shipping, including general availability of the AI Threat Hunter in July 2026. The 11x ARR growth figure is the company’s own, so output per dollar is unconfirmed. [s11, s16, s23, s22] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 4/5 | CB Insights defines a security operations center AI agents market and names Dropzone AI an Outperformer among 15 other companies in it. VentureBeat lists Dropzone AI among providers of agentic AI for security operations centers, and a SOUPS 2026 study counts it among the security-specific AI tools practitioners name. An analyst firm, the press, and practitioners each place the product in an emerging AI agent category for security operations. [s16, s14, s17] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | Dropzone AI has some friction against absorption, since context memory learns each customer’s environment and customers such as ECS route alerts through it into ServiceNow. VentureBeat lists Microsoft Security Copilot, Google Cloud Security AI Workbench, CrowdStrike, and Palo Alto Networks among providers of agentic AI for security operations centers, so platform vendors already sell agents for the same work. No cited source evidences a proprietary data flywheel or another moat bundling could not replicate. [s2, s8, s14] |
Dropzone AI sells to security operations teams that receive more alerts than their analysts can investigate. BankInfoSecurity reports that its two primary customer types are managed security service providers and mid-sized enterprises. Its product page promises full-depth investigation of every alert, at 3 AM or on Monday morning.
In the practitioner discussions one academic study analyzed, security teams mostly kept people in charge of AI-assisted decisions. The SOUPS 2026 study of Reddit posts from December 2022 to September 2025 found large language models used most often as decision support tools and only rarely with fully autonomous control over end-to-end mitigation. The same study associated security-specific tools with more autonomous triage and incident response work, so buyers who share that caution may limit Dropzone AI’s auto-containment more than its investigation.
Dropzone AI extends the same capacity argument to threat hunting. Its homepage says the AI Threat Hunter turns what used to take 40 hours of manual hunting into about one hour. [s12, s2, s17, s1]
Dropzone AI SOC Analyst investigates alerts end to end and reports a verdict with its evidence. For each alert, the trust page says, the analyst forms several hypotheses about why the alert fired and the lines of investigation to pursue. SecurityWeek reports that it handles phishing, endpoint, network, cloud, identity, and insider-threat alerts.
The analyst adapts to each customer and can act on confirmed threats. Context memory learns details about the customer’s environment, and Zapier’s team flags users who are traveling so the product raises the severity of related alerts. When the agents confirm a threat, the product page says auto-containment can block malicious IPs and disable compromised accounts.
Dropzone AI announced general availability of Dropzone AI Threat Hunter in July 2026, joining the AI SOC Analyst. Help Net Security’s item relaying the announcement describes more than 270 hunt packs mapped to MITRE ATT&CK and hunts running across Splunk, Microsoft Sentinel, CrowdStrike NG-SIEM, Elastic, and Panther. The homepage lists an AI Threat Intel Analyst for fall 2026. [s9, s11, s2, s7, s23, s1]
Dropzone AI competes with specialist AI security operations vendors and with platform vendors. CB Insights lists Stellar Cyber, Prophet Security, CyCraft, Exabeam, and 7AI among its competitors, and 7AI, Prophet Security, and Torq each market agentic AI security operations products on their homepages. VentureBeat lists Microsoft Security Copilot, Google Cloud Security AI Workbench, CrowdStrike, and Palo Alto Networks among providers of agentic AI for security operations centers.
Dropzone AI presents vendor neutrality as its edge over platform vendors. BankInfoSecurity reports that Dropzone is built to work across any combination of security tools a client already has, unlike platform vendors that work best with their own tools. Dropzone AI’s integrations page lists more than 90 security tools across 14 categories.
An analyst firm and an academic study both place Dropzone AI inside the AI security operations category. CB Insights names it an Outperformer among 15 other companies in its security operations center AI agents market, including Tines, Torq, and ReliaQuest. A SOUPS 2026 study found only four security-specific tools mentioned more than five times by practitioners, with Dropzone AI at 10 mentions behind Security Copilot at 40. [s16, s18, s19, s20, s14, s12, s4, s17]
Dropzone AI names customers among enterprises and managed security service providers. Its case studies cover ECS, Mysten Labs, Zapier, and Assala Energy, and SiliconANGLE named UiPath, Zapier, Pipe Technologies, Mysten Labs, and CBTS among more than 100 organizations using the product. A security leader at Indiana Farm Bureau Insurance is quoted as a customer in the AI Threat Hunter launch announcement.
Managed service providers and a federal integrator widen Dropzone AI’s reach. ECS runs a 24/7 multi-tenant security operations center that routes alerts into Dropzone AI for investigation, and the pricing page offers MSSPs an environment in which a provider pools AI analysts across its customers. Leidos announced in March 2026 that it and Second Front Systems are deploying Dropzone AI within 2F Game Warden to expedite federal adoption, alongside a strategic investment by Leidos.
Dropzone AI’s growth figures for 2025 come from its own press release, so they are company measurements. The release reports 11x ARR growth, more than 370% net revenue retention, more than 35 new customers including Kwik Trip and Avalara, and more than $1 million in U.S. federal ARR. Its pricing page publishes an entry price of $36,000 a year for up to 4,000 investigations. [s1, s7, s10, s24, s8, s3, s21, s22]
Founder and CEO Edward Wu led an AI product build in the same domain before Dropzone AI. BankInfoSecurity reports that he spent eight years at ExtraHop, a network detection and response vendor, ending in a role leading development of all its AI and machine-learning product capabilities. Washington Technology reports that Wu founded Dropzone AI in 2023.
Dropzone AI’s leadership page lists chief revenue officer Amit Patel and leaders for engineering, product management, and infrastructure and security. Google Patents lists Wu and Eric Hammerle as inventors on patents assigned to Dropzone AI. BankInfoSecurity reported 33 employees at the time of the Series B, and the company says it doubled in size during 2025.
Investors have backed the team across rounds. SecurityWeek reports that Theory Ventures led the $37 million Series B with Madrona, Decibel Ventures, Pioneer Square Labs, and IQT, and Washington Technology notes In-Q-Tel’s continued involvement. Leidos added a strategic investment in March 2026. [s12, s13, s5, s27, s22, s11, s21]
Dropzone AI publishes its security posture on a Security, Privacy, and Trust page. The page states a completed SOC 2 Type 2, with the findings available under NDA, and annual penetration tests by a third party. It also states that Dropzone AI does not use customer data to train its own or its sub-processors’ models.
Customers control the access and the data location. Each customer gets a dedicated cloud tenant in AWS, access defaults to read-only, and Dropzone AI normally deploys in AWS us-west-2 with optional regional deployments for privacy and regulatory requirements. Dropzone AI keeps investigation data until the contract ends.
Dropzone AI makes each investigation inspectable. Its product page describes a full audit trail of every question asked, tool queried, and finding generated. Zapier’s team says on its case-study page that seeing every query and piece of evidence builds trust in the results. [s9, s2, s7]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| 7AI | competes with | Listed by CB Insights among Dropzone AI’s competitors, and competes for the same alert triage and investigation work. | |
| Prophet Security | competes with | Listed by CB Insights among Dropzone AI’s competitors for security teams that want AI to investigate alerts. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Radiant Security | competes with | CB Insights features Radiant Security alongside Dropzone AI in its enterprise AI agents and copilots market map. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Torq | competes with | Named with Dropzone AI in the CB Insights security operations center AI agents market, and competes for the same investigation workload. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Microsoft | competes with | VentureBeat lists Microsoft Security Copilot among providers of agentic AI for security operations centers, which puts Microsoft in competition for Dropzone AI’s buyers. | N/AMicrosoft is scored by product line, not as a whole company, so there is no company-wide column to compare. Open its profile to compare a specific product. |
| competes with | VentureBeat lists Google Cloud Security AI Workbench among providers of agentic AI for security operations centers. | N/AGoogle is scored by product line, not as a whole company, so there is no company-wide column to compare. Open its profile to compare a specific product. |
Add analyzed competitors to compare them side by side with Dropzone AI.
A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
Dropzone AI sells software that security teams operate themselves, with no vendor analysts working behind its investigations. Its customers include managed security service providers and an insurer, and the company reports more than $1 million in annual recurring revenue from the U.S. federal market. Its analyst applies large language models to multi-step security investigations, and the company is the assignee of granted U.S. patents on that work. Context memory tuned to each customer and integration into ServiceNow for case management add switching effort for a departing customer. Microsoft, Google, and CrowdStrike also sell agentic AI for security operations centers, so Dropzone AI competes with vendors whose tools its product investigates.
| Dimension | Score | Rationale |
|---|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 | Customers buy software their own teams operate. Dropzone AI’s homepage says no analysts work behind the scenes of its investigations, and its product page advertises 100% software execution with no vendor-provided humans. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | Customers replacing Dropzone AI may need to transfer environment context and reconfigure workflows such as ECS’s routing into ServiceNow. That is integration and learned-workflow friction, and no cited source documents non-portable state, a network effect, or a residency constraint, or sizes a migration. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | Dropzone AI’s SOC 2 Type 2 report and annual third-party penetration tests are assurances a funded competitor can also obtain. Its regional deployments and the Leidos effort to deploy it within 2F Game Warden support sales to customers with regional privacy requirements and to federal agencies, and no cited source shows an authorization held by the product that would block a replacement. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Dropzone AI’s analyst forms hypotheses about each alert and queries a customer’s security tools to test them. Its AI Threat Hunter filters up to half a million rows of telemetry per search with data science and large language models. Dropzone AI is the assignee of granted U.S. patents on security analysis agents, context repositories, and automated threat hunting. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | Dropzone AI’s evidenced buyers include regulated and government customers. A security leader at Indiana Farm Bureau Insurance is quoted as a customer, and the company reports onboarding customers in regulated markets and passing $1 million in U.S. federal ARR. BankInfoSecurity reports MSSPs and mid-sized enterprises as its two primary customer types. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | Dropzone AI runs a hosted agent service that queries other security tools and feeds results into systems such as Panther and ServiceNow, and MSSPs pool its AI analysts across their customers. No cited source shows other applications depending on it to run. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 2/3 | Dropzone AI’s evidenced asset is intellectual property. Google Patents lists granted U.S. patents assigned to Dropzone.ai, Inc. for security analysis agents, context repository management, dynamic investigation playbooks, and automated threat hunting, and CB Insights records the playbooks patent’s grant in April 2026. The cited sources evidence no cross-customer dataset. |
Dropzone AI sells the same agents to enterprise security teams and to managed security service providers. BankInfoSecurity reports mid-sized enterprises and MSSPs as its two primary customer types. The pricing page offers a single-tenant enterprise plan beside a multi-tenant MSSP plan, in which a provider pools AI analysts across its customers.
Named customers span technology companies and more traditional industries. Dropzone AI’s case studies cover Zapier, Mysten Labs, ECS, and Assala Energy, and CB Insights lists IntrusionOps, CBTS, UiPath, and Assala Energy. The company’s press release on 2025 results reports expansion into financial services, fintech, insurance, industrial, manufacturing, and media customers.
Government is a third segment. Leidos and Second Front Systems are deploying Dropzone AI within 2F Game Warden to expedite federal adoption, and the product page offers federal pricing. The company reports passing $1 million in U.S. federal ARR in 2025, and SecurityBrief UK reports that the AI Threat Hunter targets enterprises, managed security service providers, and government agencies.
Dropzone AI applies large language models to replicate an analyst’s investigative method. The trust page says the analyst forms several hypotheses about each alert and the lines of investigation to pursue. The same page names outside model providers, including Anthropic, Azure, OpenAI, and Perplexity.
Dropzone AI is the assignee of granted U.S. patents on its approach. Google Patents lists patents assigned to Dropzone.ai, Inc. for security analysis agents, context repository management, dynamic investigation playbooks, and automated threat hunting. Dropzone AI’s About page counts 14 U.S. patents related to AI security agents.
Dropzone AI and its customers supply most of the performance evidence, so the accuracy and speed figures are their own measurements. Help Net Security reported a Dropzone benchmark study that measured 148 security professionals working with and without AI assistance. The company reports a finding of 22-29% better investigation accuracy from that work with the Cloud Security Alliance. Zapier says on its case-study page that work that took 10 to 15 minutes now takes under two minutes.
Dropzone AI pairs sales-led deals with ways to evaluate the product first. Its site offers a self-guided demo in a live environment and a structured proof of concept, and its pricing page publishes an entry price. Enterprise, MSSP, and federal pricing each start with a quote request.
Managed service providers and a federal integrator extend Dropzone AI’s reach. ECS routes alerts from detection platforms through SOAR into Dropzone AI and back to ServiceNow, and SiliconANGLE reports that CBTS uses the product in its managed detection and response service. Leidos announced a federal partnership and a strategic investment in March 2026.
Dropzone AI’s growth claims are self-reported. Its press release on 2025 results reports 11x ARR growth and more than 370% net revenue retention, and no cited independent source confirms either figure. The AI Threat Hunter announcement relayed by Help Net Security says UiPath saved more than 700 analyst hours.
Dropzone AI prices by investigation capacity. The pricing page’s published text sets the entry point at $36,000 a year per AI SOC Analyst, covering up to 4,000 full investigations, unlimited users, and threat intelligence. The same page equates 4,000 investigations to the average output of a human tier 1 analyst.
Enterprise and MSSP buyers request custom quotes. The enterprise plan adds a dedicated single-tenant environment, and the MSSP plan adds a multi-tenant environment in which a provider pools AI analysts across its customers. Federal buyers use a separate pricing request.
Dropzone AI delivers a hosted service that connects to the tools a customer already runs. Each customer gets a dedicated cloud tenant in AWS, an optional connector connects to on-premises security tools, and the product queries tools through their APIs without a data lift or log normalization.
Named customers report short setup and integration into their existing workflows. Zapier completed its deployment in two days, with Dropzone AI pushing enriched investigations into Panther, and ECS feeds investigation outcomes back into ServiceNow for case management and auditability.
Dropzone AI pursues federal agencies through partners. Leidos is working with Dropzone AI so its AI SOC analysts understand federal security operations, and Leidos and Second Front Systems are deploying the product within 2F Game Warden to expedite federal adoption. That partnership gives Dropzone AI a route to expand federal adoption through 2F Game Warden.
Dropzone AI publishes its trust collateral on a Security, Privacy, and Trust page. The page states a completed SOC 2 Type 2, with findings available under NDA, and annual penetration tests by a third party. It also states that Dropzone AI does not use customer data to train its own or its sub-processors’ models.
Dropzone AI makes its investigations inspectable. The product page describes a full audit trail of every question asked, tool queried, and finding generated, and Zapier’s team says seeing every query and piece of evidence builds trust in the results.
In-Q-Tel and Leidos give Dropzone AI connections to the government market. Washington Technology notes the continued involvement of In-Q-Tel, the intelligence community’s venture capital arm, and Leidos made a strategic investment alongside its federal deployment partnership.
Dropzone AI works on top of the security tools a customer already runs. It queries SIEM, EDR, cloud, identity, and email tools through their APIs without a data lift or log normalization, and it retains investigation data such as alerts, evidence, and findings.
Dropzone AI now sells two agents. The company announced general availability of the AI Threat Hunter in July 2026 alongside its AI SOC Analyst. The homepage lists an AI Threat Intel Analyst for fall 2026 that would turn each new vulnerability or campaign into a hunt pack.
Dropzone AI depends on other vendors in two places. It needs API access to the tools it investigates, such as Microsoft Sentinel, Microsoft Defender, and Google Security Operations, and it uses outside model providers such as Anthropic, Azure, OpenAI, and Perplexity. VentureBeat lists Microsoft Security Copilot and Google Cloud Security AI Workbench among providers of agentic AI for security operations centers, so vendors whose tools Dropzone AI investigates also sell competing agents.
Dropzone AI’s founder led an AI product build in the same domain. BankInfoSecurity reports that Edward Wu spent eight years at ExtraHop, a network detection and response vendor, ending in a role leading development of all its AI and machine-learning product capabilities, and Washington Technology reports that he founded Dropzone AI in 2023.
Dropzone AI’s leadership page lists chief revenue officer Amit Patel and leaders for engineering, product management, and infrastructure and security. Google Patents lists Wu and Eric Hammerle as inventors on patents assigned to Dropzone AI, and the company says it doubled in size during 2025.
Investors have backed the team across rounds. SecurityWeek reports that Theory Ventures led the $37 million Series B with Madrona, Decibel Ventures, Pioneer Square Labs, and IQT, and Leidos added a strategic investment in March 2026.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Dropzone AI homepage | official | 2026-09-17 |
| f2 | Washington Technology: Dropzone AI Series B coverage | press | 2026-09-17 |
| f3 | CB Insights Dropzone AI company profile | research | 2026-09-17 |
| f4 | SecurityWeek: Dropzone AI raises $37 million for autonomous SOC analyst | press | 2026-09-17 |
| f5 | Dropzone AI integrations page | official | 2026-09-17 |
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