PRE Security is an AI-native Security Operations platform that combines Predictive AI, Generative AI, and Agentic AI to identify and anticipate threats before they materialize. Core components include: - **PRE CyberLLM™**: A proprietary large language model trained specifically for security detection and prediction, with contextual understanding of narrative, intent, and threat context. - **SOCGPT & SOARGPT**: Natural language interfaces enabling analysts to investigate, triage, report, and respond using plain English or other languages. - **Generative XDR**: Multi-dimensional correlation across attack vectors using Semantic Narrative Detections. - **Log2NLP**: A parserless log ingestion system that enables rapid data integration from any data source without requiring custom parsers. The platform improves signal-to-noise ratio through AI-enhanced data engineering and generative detections, and accelerates triage and response via agentic automation. Deployment options include on-premises (including a Mac mini-based miniSOC configuration), private cloud, and cloud-scale SaaS. Data ingestion is supported via log receivers and data connectors from any source. The platform is designed for security analysts to reduce alert noise, speed up investigations, and make more informed decisions across varying organizational environments.