TL;DR

Dropzone AI has raised $37 million in Series B funding led by Theory Ventures to expand its autonomous AI SOC analyst platform. The funding will accelerate global expansion, advance the AI agent ecosystem, and deepen security tool integrations. Over 100 enterprises including CBTS, UiPath, and Zapier use Dropzone AI to reduce alert investigation times from 25 minutes to 3-10 minutes while clearing 90% of Tier 1 tickets autonomously.

The cybersecurity battlefield has favored attackers, but the asymmetry is accelerating. With 67% of organizations facing critical staffing shortages and security teams drowning in thousands of daily alerts, the traditional approach to security operations is no longer sustainable. Today, as we announce our $37 million Series B funding, we're not just celebrating a financial milestone - we're accelerating a shift in cybersecurity so that it favors defenders.

A Vision that Reimagines the SOC: The Journey to Series B

When we started Dropzone AI, we saw a broken model. Security operations centers were overwhelmed, analysts were burning out, and critical threats were slipping through the cracks. We knew there had to be a better way, one that didn't require organizations to choose between comprehensive security coverage and sustainable operations.

Our vision was clear: create AI SOC analysts that could autonomously investigate alerts with the same techniques as elite human analysts, but without the limitations of cognitive scale or fatigue. Today, that vision has become reality for over 100 enterprises that rely on Dropzone AI to protect their organizations, including leading MSSPs like CBTS and enterprises like UiPath, Zapier, Pipe, and Assala Energy.

The results speak for themselves. Organizations using Dropzone AI are clearing 90% of Tier 1 tickets autonomously, reducing investigation times from ~25 minutes to just 3-10 minutes per alert, freeing their staff to focus on proactive security work that meaningfully improves security posture. For example, CBTS, a North American IT services provider, has transformed their managed detection and response service by offloading 30-50% of alert volume, freeing their team to focus on threat hunting and strategic security initiatives.

"Dropzone AI SOC analyst's performance is exceptional, delivering detailed, high-fidelity alerts within minutes," says Andrew Marsh, Director of Information Security at the Indiana Farm Bureau Insurance. "This transparent, rapid processing and accuracy significantly elevates threat response capabilities."

Image of Dropzone AI Product Dashboard
Dropzone AI SOC Analyst Dashboard

Strategic Investment for Strategic Growth

Our Series B round, led by Theory Ventures with participation from Madrona, Decibel Ventures, Pioneer Square Labs, and IQT, represents more than capital—it's a validation of our approach and a strategic alignment with investors who understand the transformative potential of autonomous AI in cybersecurity.

"Dropzone AI's ability to autonomously triage and investigate security alerts with human-level reasoning is a game-changer in a market that's overwhelmed by alert fatigue and attack frequency," notes Vivek Ramaswami, Partner at Madrona Ventures.

This investment comes at an inflection point for security operations as they adopt agentic AI. Gartner predicts that by 2028, multi-agent AI for threat detection and incident response will underpin 70% of AI deployments aimed at augmenting security teams. As a recognized vendor in the 2025 Gartner® Hype Cycle™ for Security Operations, Dropzone AI is positioned at the forefront of this transformation.

Accelerating the Future of AI-Augmented Security Operations

With this funding, we're executing on three strategic pillars that will expand our impact across the global security landscape:

1. Global Expansion to Meet Surging Demand

Security threats don't respect borders, and neither should security solutions. We're scaling our sales, marketing, and customer success teams to ensure security teams worldwide can access autonomous AI analysts without dramatically increasing headcount or budget. This means more organizations can achieve enterprise-grade security coverage regardless of their size or resources.

2. Advancing Our Autonomous AI Agent Ecosystem

While our AI SOC analysts have already transformed alert investigation, we're expanding our roster of specialized autonomous agents to tackle other manual security tasks. Each new agent represents another force multiplier for security teams, handling routine work with expert-level precision while humans focus on strategic security projects.

3. Deepening Ecosystem Integration

Agentic AI is most effective when it can expertly use multiple security tools in a vendor-agnostic manner. We're extending our partnerships and technical integrations to ensure Dropzone AI works flawlessly with security teams of all sizes, tool stacks, and maturity levels. This comprehensive approach drives operational efficiency, sharpens threat detection, and delivers stronger ROI across the entire security ecosystem.

The New Reality of AI-Augmented Security Operations

The shift to AI-augmented security operations isn't a future possibility - it's today's reality. Organizations can no longer rely solely on human analysts to keep pace with the volume and sophistication of modern threats. The question isn't whether to adopt AI in security operations, but how quickly teams can integrate these capabilities to stay ahead of attackers. Dropzone AI makes it easy for organizations to adopt AI for the SOC on their own terms. Our multi-agent system deploys in minutes and works on Day 1 without requiring prompts, code, or playbooks.

What makes Dropzone AI different is our approach to human-AI collaboration. We're not replacing security analysts; we're giving them AI agents that expertly handle routine investigations with the same techniques and reasoning as expert analysts. This allows human teams to operate at a more strategic level, focusing on proactive security activities such as threat hunting, onboarding new log sources, detection engineering, and incident response planning.

For MSSPs like CBTS, this means the ability to scale services profitably while maintaining quality. For enterprises, it means a SOC that is not only incredibly efficient but also effective at identifying and containing threats fast. For security analysts, it means freedom from alert fatigue and the opportunity to work at a more strategic level.

Reinforcements Have Arrived for the SOC

As we enter this next phase of growth, our mission remains unchanged: level the playing field for cyber defenders. In a world where attackers are increasingly leveraging AI to automate and scale their operations, defenders are adopting superior capabilities.

The future we're building is one where every security team, regardless of size or budget, has access to an army of tireless, expert-level AI agents. Where routine security work is handled autonomously with consistent quality. Where human judgement is used most effectively for strategy and responding to real incidents, rather than wasted on things that AI could automate.

This isn't just about technology; it's about fundamentally changing the economics and effectiveness of cybersecurity. With autonomous AI agents handling routine investigations and other routine work, organizations can reduce MTTR to minutes without burning out their teams or breaking their budgets.

Experience the Future of Security Operations Today

The best way to understand the transformative power of autonomous AI SOC analysts is to see them in action. We invite you to experience firsthand how Dropzone AI can revolutionize your security operations.

Take our self-guided demo to see how AI SOC analysts investigate alerts, build evidence chains, and deliver decision-ready conclusions in minutes - not hours. Discover why over 100 organizations trust Dropzone AI to defend their digital assets and empower their security teams.

The future of cybersecurity isn't about choosing between comprehensive coverage and sustainable operations. With Dropzone AI, you can have both.

What is Dropzone AI's Series B funding amount and who led it?
Dropzone AI raised $37 million in Series B funding led by Theory Ventures, with participation from Madrona, Decibel Ventures, Pioneer Square Labs, and IQT. This funding will accelerate global expansion and advance the company's autonomous AI agent ecosystem for security operations.
How does Dropzone AI improve SOC efficiency?
Dropzone AI's autonomous AI SOC analysts reduce alert investigation times from approximately 25 minutes to just 3-10 minutes per alert. Organizations using the platform clear 90% of Tier 1 tickets autonomously, allowing security teams to focus on strategic initiatives rather than routine alert triage.
Which companies are using Dropzone AI?
Over 100 enterprises rely on Dropzone AI, including leading MSSPs like CBTS and enterprises such as UiPath, Zapier, Pipe, and Assala Energy. CBTS has transformed their managed detection and response service by offloading 30-50% of alert volume to Dropzone AI.
What makes Dropzone AI different from other security automation tools?
Unlike traditional SOAR platforms that require extensive playbooks and coding, Dropzone AI's multi-agent system deploys in minutes and works on Day 1 without requiring prompts, code, or playbooks. The AI agents handle routine investigations with the same techniques and reasoning as expert human analysts.
What will Dropzone AI do with the Series B funding?
The $37 million Series B funding will be used for three strategic initiatives: (1) Global expansion to meet surging demand for AI SOC analysts, (2) Advancing the autonomous AI agent ecosystem to tackle more security tasks, and (3) Deepening ecosystem integration to work seamlessly with all security tool stacks.

Self-Guided Demo

Test drive our hands-on interactive environment. Experience our AI SOC analyst autonomously investigate security alerts in real-time, just as it would in your SOC.
Self-Guided Demo
A screenshot of a dashboard with a purple background and the words "Dropzone AI" in the top left corner.