PRE Security
PRE Security offers a revolutionary AI Native SecOps solution that leverages generative, agentic, and predictive AI technologies to streamline and automate cybersecurity workflows. Their platform, the PRE Security CyberAI, is built on a multi-model Agentic AI architecture, moving beyond traditional rule-based detections to a more proactive and predictive approach. Key offerings include an AI SIEM with natural language queries, Generative XDR for advanced threat detection and response, Predictive Analytics powered by their CyberLLM™ to anticipate threats, and an Agentic SOC with SOCGPT™ for intuitive data interaction and automated tasks. They also offer an AI Pre-processor for traditional SIEMs and support for MSSPs, enabling them to offer advanced prediction capabilities. Their business model is based on endpoints (unique IP addresses) and processing time, differing from traditional log ingestion costs. The company was founded by John "JP" Peterson and Paul Jespersen with the goal of predicting cyber attacks before they occur.
PRE Security
PRE Security offers a revolutionary AI Native SecOps solution that leverages generative, agentic, and predictive AI technologies to streamline and automate cybersecurity workflows. Their platform, the PRE Security CyberAI, is built on a multi-model Agentic AI architecture, moving beyond traditional rule-based detections to a more proactive and predictive approach. Key offerings include an AI SIEM with natural language queries, Generative XDR for advanced threat detection and response, Predictive Analytics powered by their CyberLLM™ to anticipate threats, and an Agentic SOC with SOCGPT™ for intuitive data interaction and automated tasks. They also offer an AI Pre-processor for traditional SIEMs and support for MSSPs, enabling them to offer advanced prediction capabilities. Their business model is based on endpoints (unique IP addresses) and processing time, differing from traditional log ingestion costs. The company was founded by John "JP" Peterson and Paul Jespersen with the goal of predicting cyber attacks before they occur.
TL;DR
Product: AI-native Predictive SecOps platform (CyberAI / CyberLLM) with parserless ingestion, AI SIEM, Generative XDR, and agentic SOC features
Founders: John "JP" Peterson and Paul Jespersen
Headquarters: San Jose, California
Employees: 24
Total funding (reported): 6,000,000 USD
Company Overview
Problem Domain
Cybersecurity / SecOps — predictive threat detection, automation of SOC workflows, and improved threat response.
Industry
Cybersecurity
Funding Track Record
Total Funding: 6000000.00 Stage: Seed