Testing Networks Built for and Enhanced with AI

Testing is essential for ensuring AI-enabled networks are performant, reliable, and secure. By evaluating performance, compliance, and risk, testing helps make networks built for and enhanced with AI robust and trustworthy. Continuous testing prevents costly failures, builds trust and transparency, and uses feedback loops to improve AI behavior and governance over time.

This Spirent infographic illustrates how testing AI networks helps manage the risks and uncertainty to ensure AI delivers on its promise.