Prophet Security offers an agentic AI SOC platform designed to automate security alert triage and investigation. This platform emulates expert analysts to autonomously gather evidence, correlate data across sources, and provide remediation steps. The result is a significant reduction in mean time to investigate, allowing security teams to focus on high-priority threats with increased efficiency.
Funding
$30M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


Founders
Product
Problem
Security operations teams face significant challenges with alert fatigue, leading to missed detections and delayed investigations. The manual, repetitive nature of alert triage and analysis contributes to analyst burnout and high operational costs, impacting overall security posture.
Solution
Prophet AI provides an agentic AI Security Operations Center (SOC) analyst platform designed to autonomously triage and investigate security alerts. The platform emulates expert analyst workflows, automatically gathering evidence from across the security stack, performing contextual analysis, and generating detailed explanations for each decision. This automated process significantly reduces mean time to investigate (MTTI), allowing security teams to focus on high-priority threats and improve their overall efficiency. Prophet AI integrates seamlessly with existing security tools and learns from analyst feedback to continuously refine its investigative accuracy and adapt to evolving threat landscapes.
Target Audience
The primary target audience includes Security Operations Centers (SOCs), Security Analysts, and CISOs within organizations experiencing high alert volumes and seeking to optimize their incident response capabilities.
Features
- Agentic AI SOC analyst for autonomous alert triage and investigation
- Automated evidence gathering across diverse security tooling
- Contextual reasoning engine for in-depth alert analysis
- Explainable AI framework providing transparency into investigation steps and findings
- Dynamic investigation plan generation and execution
- Automated severity assessment and alert prioritization
- Integration with security and collaboration tools for workflow automation
- Continuous learning mechanism based on analyst feedback for adaptive accuracy
- Single-tenant architecture ensuring data privacy and security
- No customer data used for training or fine-tuning of Large Language Models (LLMs)