Security Operations Centers (SOCs) are overwhelmed by the sheer volume of security alerts, leading to alert fatigue, missed critical threats, and slow response times. Manual investigation processes are time-consuming and costly, while traditional Security Orchestration, Automation, and Response (SOAR) tools are complex to implement and maintain, failing to keep pace with rapidly evolving threats.

Prophet AI provides an AI-driven SOC analyst platform that automates alert triage, investigation, and response, enabling security teams to respond to threats with speed and precision. The platform synthesizes complex alerts from disparate security tools into plain English, emulates expert analysts by gathering and analyzing relevant data, and prioritizes critical alerts with explicit next steps. By learning from analyst feedback, Prophet AI continuously adapts to the organization's environment, lowering Mean Time To Resolution (MTTR), reducing risk, and maximizing the value of existing security tools. The platform protects sensitive data by ensuring it is never used to train Large Language Models (LLMs), provides visibility into findings and evidence for review, and integrates seamlessly with existing security and collaboration tools.

AI-driven automated alert triage and investigation

Alert synthesis from disparate tools into plain English summaries

Autonomous data retrieval, correlation, and analysis across sources

Severity determination, alert prioritization, and remediation steps

Integration with security tools and collaboration workflows

Continuous learning from analyst feedback and adaptation to the environment

Protection of sensitive data by preventing its use in LLM training

Visibility into investigation plans and supporting evidence

Seamless integration with existing security and collaboration tools

The primary target audience includes security analysts, SOC managers, and CISOs seeking to improve SOC efficiency, reduce alert fatigue, and enhance threat response capabilities.