Security operations startup Dropzone AI Inc. revealed today that it has raised $37 million in new funding to accelerate development of specialized autonomous AI security agents and deepen its ecosystem partnerships and integrations.
Founded in 2020, Dropzone AI builds artificial intelligence-native security operations center analysts capable of autonomously triaging and investigating security alerts. The company’s platform leverages advanced large language models to replicate the reasoning and decision-making of top-tier human analysts, dramatically reducing the need for manual intervention in early-stage alert handling.
Dropzone AI’s main offering is its autonomous SOC analyst, agentic AI that it claims handles routine Tier 1 alert triage with speed and precision. The system can interpret, prioritize and act on incoming security alerts in real time, mirroring the steps a human analyst would take, but doing so in minutes rather than hours. The SOC analyst also generates clear, high-quality investigation summaries, the company says, allowing human analysts to focus their attention on more complex threat hunting and incident response tasks.
The platform integrates into existing security stacks, supporting a wide range of security information and event management, endpoint detection and response and ticketing tools, allowing organizations to enhance their threat detection and response capabilities without overhauling their existing infrastructure. The company’s solutions are already in use by more than 100 organizations, including UiPath Inc., Zapier Inc., Pipe Technologies Inc. and Mysten Labs, as well as managed security service providers like Cincinnati Bell Technology Solutions LLC.
In the case of CBTS, Dropzone AI has been used to enhance the efficiency and quality of its managed detection and response service. By offloading 30% to 50% of alert volume, the platform has significantly reduced repetitive work, allowing the team to focus more on threat hunting, customer onboarding and improving coverage.
The Series B round was led by Theory Ventures, with Madrona Ventures Group, Decibel Ventures, Pioneer Square Labs and In-Q-Tel Inc. also participating.
“We’re driving a generational shift in cybersecurity from manpower-bound, alert-chasing SOC teams to SOC teams backed by an army of autonomous AI agents that get to focus on what truly matters,” said founder and Chief Executive Edward Wu. “This change is not optional; it’s essential. We exist to level the playing field for cyber defenders and we can field these next-generation capabilities right now.”
The new funding takes the total raised by Dropzone AI to approximately $57.4 million, based on data from Tracxn. Dropzone AI last raised funding in a $16.5 million Series A round in April 2024.
Image Dropzone AI
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