Keysight AI Software Integrity Builder
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Keysight Launches Software Solution to Ensure Trustworthy AI Deployment in Safety-Critical Environments
Businesswire· 2026-01-06 16:00
Core Insights - Keysight Technologies has launched the AI Software Integrity Builder, a software solution aimed at enhancing the validation and maintenance of AI-enabled systems to ensure their trustworthiness in safety-critical environments like automotive [1][6]. Industry Challenges - AI systems are complex and dynamic, often lacking transparency in their internal decision-making processes, which poses challenges for industries such as automotive that require safety, reliability, and regulatory compliance [2]. - Developers face difficulties in diagnosing dataset or model limitations, compounded by emerging standards like ISO/PAS 8800 and the EU AI Act that require explainability and validation without providing clear methodologies [2]. Solution Overview - The AI Software Integrity Builder offers a unified, lifecycle-based framework that addresses the critical question of ensuring safe behavior in AI systems during deployment [3]. - This solution provides engineering teams with the necessary evidence for regulatory compliance and supports continuous improvement of AI models [3]. Key Features - The solution includes capabilities such as dataset analysis to identify biases and inconsistencies, model-based validation to explain decisions and uncover correlations, and inference-based testing to evaluate model performance in real-world conditions [8]. - Unlike traditional tools that focus on isolated aspects of AI testing, Keysight's integrated approach covers dataset analysis, model validation, real-world inference testing, and continuous monitoring [5][8]. Strategic Importance - The Vice President of Keysight's Automotive & Energy Solutions emphasized the growing importance of AI assurance and functional safety in vehicles, highlighting the need for tools that align with regulatory requirements and provide safety evidence [6]. - The AI Software Integrity Builder enables a shift from fragmented testing to a comprehensive AI assurance strategy, ensuring that deployed AI systems are performant, transparent, auditable, and compliant by design [6].