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Keysight Launches Software Solution to Ensure Trustworthy AI Deployment in Safety-Critical Environments

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eu ai act regulatory
The EU AI Act is a European law that sets rules for how artificial intelligence systems can be developed, marketed and used, grouping applications by risk and requiring safety checks, transparency and oversight. For investors it matters because the law changes costs, approval timelines and market access for AI products—like a building code for software that can raise compliance bills for some firms while creating a safer, more predictable market that benefits companies that follow the rules.
dataset analysis technical
Dataset analysis is the process of examining a collection of numerical or categorical information to uncover patterns, trends, anomalies, or relationships that help answer specific questions or test assumptions. For investors, it’s like inspecting an engine and dashboard before a long trip: it turns raw numbers into clear signals about sales, risk, customer behavior or market conditions, helping reduce surprises and make more informed decisions about a company’s prospects.
model-based validation technical
Model-based validation is the process of using computer simulations or mathematical models to show that a product, test, or decision method works as intended instead of relying only on physical tests or large trials. For investors, it matters because credible models can speed development, lower costs and reduce regulatory hurdles—like testing a car in a virtual wind tunnel—but outcomes depend on how well the model matches real-world behavior, which affects risk and timelines.
inference-based testing technical
Inference-based testing is a diagnostic approach where a test or algorithm draws conclusions about a condition from indirect signals or patterns rather than measuring the condition directly, like guessing a book’s plot from a few key pages. For investors, it matters because such tests can speed up screening, lower costs and enable new products, but they also carry uncertainty about accuracy and regulatory approval that can affect market adoption and company value.
autonomous driving technical
Autonomous driving is technology that allows a vehicle to navigate and control itself without a human constantly steering, braking or accelerating, acting like a robotic chauffeur that perceives the road, makes decisions and responds to traffic and obstacles. Investors care because it can change who makes money and how much—by cutting labor and operating costs, creating new software and data businesses, and shifting regulatory and liability risks that affect future revenue, adoption speed and company valuations.
functional safety technical
Functional safety is the practice of designing and testing electronic or software-controlled systems so they behave safely even when parts fail or unexpected conditions occur. It matters to investors because certified safe systems reduce the risk of costly recalls, regulatory blocks, liability claims and lost sales; think of it like a car’s backup brakes that prevent accidents when the main brakes fail, protecting value and reputation.
ai assurance technical
AI assurance is the set of checks, tests and governance practices that make sure an artificial intelligence system works as intended, is safe, and follows laws and company rules. For investors, it’s like an independent inspection sticker for a product: strong AI assurance lowers the chance of costly failures, fines or reputational damage and therefore affects a company’s risk profile and valuation.

Integrated solution supports AI development and maintenance, real-world inference, and monitoring for data drift and performance

SANTA ROSA, Calif.--(BUSINESS WIRE)-- Keysight Technologies, Inc. (NYSE: KEYS) today 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.

Keysight AI Software Integrity Builder transforms how AI-enabled systems are validated and maintained, ensuring trustworthiness in safety-critical environments.

Keysight AI Software Integrity Builder transforms how AI-enabled systems are validated and maintained, ensuring trustworthiness in safety-critical environments.

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.

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.”

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.

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About Keysight Technologies

At Keysight (NYSE: KEYS), we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we’re delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product life cycle. We’re a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. Learn more at Keysight Newsroom and www.keysight.com.

Keysight Media Contacts

Andrea Mueller

Americas / Europe

Andrea.mueller@keysight.com

Fusako Dohi

Asia

+81 42 660-2162

fusako_dohi@keysight.com

Source: Keysight Technologies, Inc.

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