Keysight-owned Spirent Communications launched its Luma agentic AI solution aimed at augmenting network tests.

Available via Spirent’s Landslide testing platform, Luma integrates directly into customers’ testing workflows. The tool is trained on the vendor’s network knowledge base, enabling it to interpret test results alongside human engineers.

Its conversational interface allows network testing staff to troubleshoot in natural language. The agentic offering can also interpret logs and KPIs to provide streamlined diagnoses, reducing dependencies on small pools of specialized experts.

“As networks evolve toward 5G standalone, slicing, and cloud-native architectures, lab and validation teams face cognitive overload driven by fragmented tooling and complex failure scenarios,” Anil Kollipara, VP of product management at Spirent, explained. “Luma addresses this by automating the most time-consuming parts of test analysis … guiding users toward a root cause within the tools they already trust for critical lab and validation environments.”

Keysight acquired Spirent last October in a deal worth approximately $1.46 billion. Following the closure of the acquisition, Spirent has since doubled down on agentic AI as a means to help customers resolve complex network issues faster.

The Luma launch is only the “first phase” of what the vendor claims will be a comprehensive agentic AI rollout across its portfolio. The offering will eventually work its way into Spirent’s VisionWorks service assurance and Velocity test and lab automation solutions.

Spirent said wider deployment of its agentic AI solution will “enable a broader range of users to understand workflows, interpret specifications, and compliance requirements.”

“By embedding intelligence directly into existing workflows, Luma will enable teams to move from raw data to actionable insights without the need for separate tools or disruptive processes,” the vendor’s announcement reads.

While Spirent is looking to sprinkle agentic AI into its platforms, Keysight has been making moves to develop testing solutions for some of the most intense AI workloads.

Earlier this month, it teamed up with Point2 Technology to validate its e-Tube radio frequency (RF)-based interconnects, touted as powerful alternatives to copper connections for scale-up (resources connected inside the cabinet).