Dragon is an operational data engine developed by Secure Passage that normalizes and unifies data inputs from physical systems, digital systems, and environmental sources into a structured analytical pipeline. The platform is designed to consolidate fragmented data streams across facilities and enterprise environments into a single, clean data layer that supports downstream intelligence functions such as identity analysis, situational awareness, and operational workflows. Key operational characteristics: - Normalizes multi-source signals (physical, digital, environmental) into a unified dataset - Filters noise and reduces unnecessary data to lower storage and compute overhead - Uses automated processing and scalable pipelines to handle high-volume signal environments - Designed with a no-rip-and-replace approach, meaning it integrates with existing infrastructure without requiring system replacements - Supports distributed and multi-facility deployments Dragon is positioned as a foundational data layer rather than an end-point analytics or detection tool. It prepares data for use by other intelligence or security systems rather than performing direct threat detection itself. Target environments include: - Education districts and multi-campus operations - Public safety and critical infrastructure - Enterprise and corporate security teams - Data centers and high-security facilities - Large-scale or geographically distributed environments Professional services are available for data mapping, integrations, engineering, and workflow alignment.