Keysight Technologies launched AI Software Integrity Builder, a software solution that validates and maintains AI-enabled systems in safety-critical environments, among them 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 this launch will help engineering teams transition from siloed testing approaches to a cohesive AI assurance strategy, especially in high-risk applications like 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 knowledge with AI validation that will help support safety evidence and regulatory alignment.
It helps engineering teams generate evidence of regulatory conformance and ensure safety behavior during deployment, given that standards like ISO/PAS 8800 and the EU AI Act require 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, in essence answering one of the core engineering questions: how do AI systems make decisions, and do they behave safely once deployed?
The solution also covers dataset analysis, model validation, inference-based testing, and continuous monitoring. According to Keysight, the approach enables teams to diagnose dataset and model limitations while monitoring how models perform in operational settings.
