Security operations startup Dropzone AI Inc. has secured $37 million in Series B funding. Theory Ventures led the round. This investment aims to accelerate the development of specialized autonomous AI security agents.
Founded in 2020, Dropzone AI develops artificial intelligence-native security operations center (SOC) analysts. These agents autonomously triage and investigate security alerts. The platform leverages advanced large language models to replicate human analyst reasoning. Consequently, it significantly reduces manual intervention in early-stage alert handling.
Dropzone AI's autonomous AI SOC analyst handles routine Tier 1 alert triage with speed and precision. The system interprets, prioritizes, and acts on incoming security alerts in real time. Furthermore, it generates high-quality investigation summaries. This allows human analysts to focus on complex threat hunting and incident response tasks, unlike traditional systems from companies like CrowdStrike or Palo Alto Networks that might require more manual oversight.
The platform integrates into existing security stacks. It supports a wide range of security information and event management (SIEM), endpoint detection and response (EDR), and ticketing tools. Over 100 organizations currently use Dropzone AI's solutions. For instance, Cincinnati Bell Technology Solutions (CBTS) utilizes the platform to offload 30% to 50% of alert volume, enhancing their managed detection and response service.
Expanding Autonomous Security Capabilities
The new capital will deepen Dropzone AI's ecosystem partnerships and integrations. This funding round brings Dropzone AI's total raised to approximately $57.4 million. The company previously secured $16.5 million in a Series A round in April 2024, further solidifying its position in the cybersecurity market.
Dropzone AI is driving a generational shift in security operations through advanced artificial intelligence.
