Secure High-performance Infrastructure
for Agentic AI
Real-time performance and protection as AI agents take autonomous action
What’s driving AI agents to act?
AI is shifting from answers to actions. Standalone models and LLM-based apps are giving way to increasingly autonomous agents that reason over connected tools and act on their own. Organizations are re-architecting their data centers to:
- Deliver the exceptionally low latency performance real-time agentic workflows require
- Secure the new attack surface that agents open across prompts, model context, and the tools through which they can act
- Maintain visibility as agents multiply across SaaS, cloud platform, desktop and homegrown deployments
Key Challenges Customers are Facing
Latency Issues
Agentic workflows chain multiple model and tool calls per request, so users feel every second of added latency across the chain
Security Risks
Agents that act, not just answer, expand the attack surface: prompt injection, data leakage, tool abuse and context poisoning across the prompt, model context and tool layers
Operational Complexity
As agents multiply across teams and call more tools and models, its difficult for IT to see which agents exist, what they can do and what infrastructure they need
