By Javed Asghar, Usha Andra
Publication Date: 2026-03-19 16:06:00
AI is reshaping how we process data, solve complex problems, and deliver digital experiences. But your AI environment is only as secure as the infrastructure it runs on—and attackers know exactly where to look for weaknesses.
As you scale AI workloads closer to end users, agents, and machines, a critical challenge emerges: you must maximize GPU and CPU utilization while also defending against sophisticated, fast-moving threats.
Traditional security models struggle in these environments. Centralized firewall appliances can become traffic choke points that don’t scale to AI-level throughput. Host-based software agents can also tax CPU resources you need for AI processing—and, in some cases, introduce operational risk in multi-tenant environments.
To address this, Cisco and NVIDIA are partnering to redefine AI security. By extending Cisco Hybrid Mesh Firewall to NVIDIA BlueField data processing units (DPUs), Cisco brings stateful segmentation directly into AI servers…
