Imagine your entire IT and network environment has a 24/7 “air traffic controller” that watches every signal from every system, spots early warning signs of trouble, and automatically re-routes traffic or fixes issues before users even notice. That’s what AIOps does for IT and security operations.
Manual IT and security operations can’t keep up with the scale, speed, and complexity of modern hybrid/cloud environments. Teams are flooded with alerts, struggle to find root causes quickly, and react after outages or incidents have already impacted customers. AIOps uses AI and machine learning to correlate signals, reduce noise, predict issues, and automate remediation so operations teams can be proactive instead of reactive.
Tight integration with existing network, security, and IT telemetry plus historical incident data creates a proprietary feedback loop; embedding AIOps into core security and networking platforms makes it sticky in enterprise workflows.
Hybrid
Vector Search
High (Custom Models/Infra)
Real-time ingestion and analysis of high-volume telemetry (logs, metrics, traces, network traffic) at scale while keeping inference latency low and storage costs manageable.
Early Majority
Positioned at the intersection of IT operations and cybersecurity, using AI to correlate security and network intelligence rather than focusing solely on infrastructure health. Tight coupling with existing security platforms and appliances can provide richer signals and more actionable automated responses compared to generic AIOps tools.