AI-Native Predictive SecOps Platform

COMPANY OVERVIEW

PRE Security, founded in 2023 in the United States by Paul Jesperson and John Peterson, specializes in AI-driven cybersecurity solutions. Its Predictive AI Cybersecurity platform leverages generative AI to preempt and prevent security incidents, enhancing SOC efficiency. The platform turns the traditional SIEM and XDR SecOps architectures on their head with an AI-native approach to threat anticipation. PRE Security raised an undisclosed sum during its pre-seed round in July 2024, led by global channel reseller and distribution partners, as well as unnamed angel investors.

CORE FOCUS

Traditional SOC operations are reactive — analysts spend the majority of their time triaging, investigating, and responding to alerts after threats have already penetrated the environment. PRE Security addresses this by shifting the paradigm from reactive detection to predictive prevention. The platform uses generative AI to anticipate incidents before they materialize, enabling security teams to preempt attacks rather than chase them.

PRODUCTS & TOOLS

Predictive AI Cybersecurity Platform — AI-native SecOps solution that preempts security incidents using generative AI across the full detection-to-response lifecycle.

• Multi-Dimensional Alerts that correlate signals across data sources for richer context
• Natural Language Alert Signatures that allow analysts to define detection logic in plain language
• Predictive Analysis engine that anticipates threats before they impact operations

SOCGPT — AI assistant purpose-built for SOC workflows and system interactions.

• Streamlines analyst workflows through natural language interaction with security tools
• Manages system interactions and automates routine SOC tasks
• Integrates predictive workflows with existing cybersecurity infrastructure

Generative XDR™ — Next-generation extended detection and response powered by generative AI.

• AI-driven correlation across endpoints, network, cloud, and identity data sources
• Automated investigation and remediation recommendations
• Addresses challenges like alert parsing and cross-tool integration at scale