Think of this as a smart operations co‑pilot that constantly watches how your apps and networks feel to end users, spots problems before people complain, and suggests (or triggers) fixes automatically.
Traditional IT monitoring drowns teams in alerts and reacts after users are already having a bad experience. AIOps for DEM uses AI to correlate signals across networks, applications, and devices to detect issues early, reduce noise, accelerate root‑cause analysis, and protect digital experience at scale.
Tight integration of AIOps analytics with existing security and networking footprint, plus accumulated telemetry data across endpoints, networks, and applications that improves models and correlations over time.
Hybrid
Vector Search
High (Custom Models/Infra)
High-volume, high-cardinality telemetry ingestion and real-time model scoring across many devices, locations, and applications.
Early Majority
Positioned at the intersection of network security, SASE, and DEM, allowing correlated insights across security events, network performance, and user experience rather than treating them as separate monitoring silos.