Agentless Runtime Signals For The AI Factory: Streaming NVIDIA DOCA Argus Telemetry Into Zscaler Data Fabric And Unified Vulnerability Management
Zscaler, Wednesday, March 18th, 2026
Agentless Runtime Signals for the AI Factory: Streaming NVIDIA DOCA Argus Telemetry into Zscaler Data Fabric and Unified Vulnerability Management
AI factories and industrial edge deployments are built for throughput, latency, and uptime-and have complex architecture including: containerized workloads, multi-tenant clusters, and fast-changing software stacks. Security teams aren't short on telemetry. They're short on answers and time.
When vulnerability scanners, cloud posture tools, EDR, identity platforms, CMDBs, and runtime detections all live in separate siloes, you get noisy queues, duplicate tickets, and risk decisions that are hard to defend. If you can unify high-fidelity runtime signals with exposure context and business logic, you can prioritize the work that measurably reduces risk-without slowing down AI performance.