Keysight Technologies launches AI validation software for safety-critical systems

Keysight Rolls Out Software to Validate Safety-Critical AI | AIM

The solution answers a core question around how AI systems make decisions and whether they behave safely once deployed. Keysight Technologies has launched AI Software Integrity Builder, a software solution to validate and maintain AI-enabled systems in safety-critical environments, including automotive. The company said the tool addresses rising regulatory scrutiny, complex AI development cycles and the need for trustworthy deployment across the AI lifecycle. The solution supports AI development, real-world inference testing and ongoing monitoring to detect data drift and performance issues. Keysight said the launch aims to help engineering teams shift from isolated testing methods to a unified AI assurance strategy, particularly for high-risk applications such as autonomous driving. Thomas Goetzl, VP and GM of automotive and energy solutions at Keysight, said, "Standards and regulatory frameworks define the objectives, but not the path to achieving a reliable and trustworthy AI deployment." He added that the company combines test and measurement expertise with AI validation to support safety evidence and regulatory alignment. It helps engineering teams generate evidence of regulatory conformance and ensure safe behaviour during deployment, as standards such as ISO/PAS 8800 and the EU AI Act demand explainability and validation. The company said the software analyses data quality to identify bias and gaps, explains model decisions to uncover hidden correlations and tests inference behaviour under real-world conditions. It also recommends improvements for future model iterations, essentially answering a core engineering question around how AI systems make decisions and whether they behave safely once deployed. The solution also spans dataset analysis, model validation, inference-based testing and continuous monitoring. As per Keysight, this approach allows teams to diagnose dataset and model limitations while tracking how models perform in operational settings.

Keysight Technologies, Inc. Launches Software Solution to Ensure Trustworthy AI Deployment in Safety-Critical Environments

Keysight Technologies, Inc. introduced Keysight AI Software Integrity Builder, a new software solution designed to transform how AI-enabled systems are validated and maintained to ensure trustworthiness. As regulatory scrutiny increases and AI development becomes increasingly complex, the solution delivers transparent, adaptable, and data-driven AI assurance for safety-critical environments such as automotive. AI systems operate as complex, dynamic entities, yet their internal decision processes often remain opaque. This lack of transparency creates significant challenges for industries, such as automotive, that must demonstrate safety, reliability, and regulatory compliance. Developers struggle to diagnose dataset or model limitations, while emerging standards ? such as ISO/PAS 8800 for automotive and EU AI Act ? mandate explainability and validation without prescribing clear methods. Fragmented toolchains further complicate engineering workflows and heighten the risk of conformance gaps. Keysight AI Software Integrity Builder introduces a unified, lifecycle-based framework that answers the critical question: ?What is happening inside the AI system, and how do I ensure it behaves safely in deployment?? The solution equips engineering teams with the evidence needed for regulatory conformance and enables continuous improvement of AI models. Unlike fragmented toolchains that address isolated aspects of AI testing, Keysight?s integrated approach spans dataset analysis, model validation, real-world inference testing, and continuous monitoring. Core capabilities of Keysight AI Software Integrity Builder include: Dataset Analysis: Analyzes data quality using statistical methods to uncover biases, gaps, and inconsistencies that may affect model performance. Model-Based Validation: Explains model decisions and uncovers hidden correlations, enabling developers to understand the patterns and limitations of an AI system. Inference-Based Testing: Evaluates how models behave under real-world conditions, detects deviations from training behavior, and recommends improvements for future iterations. While open-source tools and vendor solutions typically address only isolated aspects of AI testing, Keysight closes the gap between training and deployment. The solution not only validates what a model has learned, but also how it performs in operational scenarios ? an essential requirement for high-risk applications such as autonomous driving. With AI Software Integrity Builder, Keysight empowers engineering teams to move from fragmented testing to a unified AI assurance strategy, enabling them to deploy AI systems that are not only performant but also transparent, auditable, and compliant by design.