Asset Intelligence as Context Engineering for Cybersecurity Operations

**Executive summary:** This article outlines the concept of Asset Intelligence and the discipline of context engineering for cybersecurity, arguing that aggregating and continuously reconciling signals from multiple control planes (MDM, IdP, vulnerability scanners, SaaS, etc.) is necessary to produce decision-grade, real-time asset context; it presents core principles—discovery, correlation, normalization, enrichment, and relationship modeling—and explains how they enable actionable, AI-enhanced defenses and accurate prioritization across complex, changing environments.