PRE Security

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PRE Security is an AI native predictive SecOps platform positioned to replace or augment legacy SIEM and XDR. Built on an agentic architecture it calls CyberAI, the platform combines generative detection, predictive analytics, and agentic automation across the whole SecOps workflow. Parserless ingestion uses generative AI to identify, interpret, and classify any data source without hand built parsers, while a patented Log2NLP process converts logs and alerts into natural language so agentic AI can correlate across data sets. Generative XDR detections find threats by behavioral similarity rather than known signatures, and agentic AI then handles triage and response autonomously. A Predict and Prevent layer uses predictive analytics, a statistical memory layer, and Monte Carlo scenario modeling to identify attack patterns in formation before impact. Natural language assistants (SOCGPT, SOARGPT, BREACHGPT) let analysts run investigations, response actions, and breach attack simulations in plain language, and a MiniSOC packaging lets small or remote teams deliver SOC services. PRE Security is headquartered in Silicon Valley (San Jose) with a leadership team drawing on NetScreen, Fortinet, Barracuda, Cisco, Splunk, Zscaler, and Stellar Cyber backgrounds. Its fixed, asset based pricing model deliberately avoids ingestion or storage based pricing to remove barriers to ingesting all available data.