Keysight Technologies, Inc. has unveiled its latest innovation, the Keysight AI Software Integrity Builder, a powerful software solution aimed at reshaping how organizations validate, monitor, and maintain AI-enabled systems. As artificial intelligence continues to expand across safety-critical sectors, especially automotive, the need for trustworthy, transparent, and regulation-ready AI has never been more urgent. In response, Keysight’s new solution delivers a structured, data-driven approach to AI assurance that supports both innovation and compliance.
Today’s AI systems function as highly complex and dynamic entities. However, their internal decision-making processes often remain difficult to interpret. As a result, industries that must meet strict safety and regulatory requirements face growing challenges. For example, automotive developers must prove that AI systems operate reliably under real-world conditions, even as regulations such as ISO/PAS 8800 and the EU AI Act demand explainability and validation without offering clearly defined implementation paths. Meanwhile, fragmented toolchains make it harder for engineering teams to identify risks, diagnose model limitations, and ensure end-to-end compliance.
AI Authority Trend: Nokia and Keysight Achieve Breakthrough in AI-Ready Data Center Networking
To address these challenges, Keysight AI Software Integrity Builder introduces a unified, lifecycle-based framework that brings clarity to AI behavior. More importantly, it helps engineering teams answer a critical question: What is happening inside the AI system, and how can its safe behavior be ensured once deployed? By delivering actionable insights throughout the AI lifecycle, the solution supports continuous improvement while generating the evidence required for regulatory conformance.
Unlike conventional approaches that focus on isolated stages of AI testing, Keysight’s solution integrates multiple validation layers into a single workflow. It spans dataset analysis, model-based validation, inference testing under real-world conditions, and continuous performance monitoring. As a result, developers gain a holistic view of how AI systems learn, adapt, and behave beyond the lab environment.
Key capabilities of the AI Software Integrity Builder include advanced dataset analysis to uncover biases and data gaps, model-based validation that explains decision-making patterns, and inference-based testing that detects deviations between training and deployment behavior. Together, these capabilities help bridge the gap between AI development and real-world operation an essential requirement for high-risk use cases such as autonomous driving.
AI Authority Trend: Keysight Unveils 3GPP AI Simulation Platform for AI-Enabled 6G Communications
Commenting on the launch, Thomas Goetzl, Vice President and General Manager of Keysight’s Automotive & Energy Solutions, said: “AI assurance and functional safety of AI in vehicles are becoming critical challenges. Standards and regulatory frameworks define the objectives, but not the path to achieving a reliable and trustworthy AI deployment. By combining our deep expertise in test and measurement with advanced AI validation capabilities, Keysight provides customers with the tool to build trustworthy AI systems backed by safety evidence and aligned with regulatory requirements.”
Ultimately, with AI Software Integrity Builder, Keysight enables organizations to move away from fragmented testing practices and toward a unified AI assurance strategy. This shift allows engineering teams to deploy AI systems that are not only high-performing, but also transparent, auditable, and compliant by design helping build long-term trust in AI-driven technologies.
AI Authority Trend: Keysight, NTT and NTT iD Set 280 Gbps World Record with Sub-Terahertz for 6G
To share your insights, please write to us at info@intentamplify.com
