PRE Security Announces Release of Version 3.3, Bringing Groundbreaking Innovations to AI SecOps, and Receipt of Top Industry Awards

San Jose, CA, March 26, 2026

PRE Security, a provider of AI-native predictive SecOps solutions, today announced the release of version 3.3 of its platform and two new awards from the 2026 Cybersecurity Excellence Awards.

Platform Version 3.3

The latest version of PRE Security introduces three key features that enhance the company's AI-native architecture and further widen the gap with traditional SIEM-based security operations approaches.

SignalGate™, PRE Security's new AI-driven security data fabric, processes, classifies, prioritizes, and routes security signals (logs) across the entire IT estate. By separating storage and analysis functions, users can now store low-value log data in low-cost storage while forwarding only high-value signal data for priority analysis. Built on PRE Security's patent-pending Parserless™ technology, SignalGate enables large-scale data ingestion and contextualization, while eliminating the SIEM's log ingestion and storage capacity-based pricing constraints that have forced organizations to limit critical telemetry.

"Many organizations are in a dilemma where they want to ingest all their data but can't because they are charged for what their SIEM ingests. This leads to a loss of data diversity," said John "JP" Peterson, co-founder of PRE Security. "SignalGate completely eliminates this constraint, giving security teams all the signal data they need to confidently detect, predict, and respond without being distracted by noise."

The fully agent-based Autonomous Security Operator (ASO), powered by Natural Language Processing technology SOARGPT™, goes beyond static playbooks to reason about relationships between alerts, assets, and threat intelligence in real-time and dynamically. This enables it to execute coordinated actions across the entire security stack with minimal analyst intervention.

"SOARGPT is an agent-based sy...