07/30/2025 /Funding Events
Prophet Security Raises $30M to Propel Agentic AI Systems for Cybersecurity

Prophet Security, a startup specializing in the development of autonomous AI systems for cybersecurity, has secured $30 million in Series A funding. The investment, led by Accel, with participation from Bain Capital Ventures, serves to accelerate the company's shift towards 'agent-versus-agent' warfare in cybersecurity. The funding coincides with the launch of Prophet's comprehensive Agentic AI SOC Platform, offering capabilities such as the Prophet AI Threat Hunter and Prophet AI Detection Advisor. This marks a significant departure from traditional copilot AI tools, aiming to automate tasks in security operations with speed, accuracy, and explainability.
The company's AI SOC Analyst has already conducted over 1 million autonomous investigations, saving an estimated 360,000 hours of investigation time. Prophet's approach differentiates itself from copilot models by proactively initiating investigations upon alert triggers, without human intervention. The company leverages various AI models, ensuring accuracy and consistency, while prioritizing data privacy and security. Notable customers such as Docker have already experienced the benefits of Prophet's AI, leading to streamlined security workflows and faster response times.
With the funding, Prophet plans to expand its engineering capabilities and platform modules, aligning with the broader trend of agentic AI system adoption in cybersecurity forecasts. The company aims to elevate the role of human analysts by automating repetitive tasks, emphasizing that automation is about enhancing, rather than replacing, human expertise. This strategic approach aligns with industry predictions of AI systems playing an increasingly pivotal role in cybersecurity defense, with human experts focusing on more complex decision-making. Prophet Security's funding and vision are indicative of a shift towards AI-driven cybersecurity defense, marking a departure from traditional human-driven approaches.
Read more about the funding here.
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