Frankfurt, 15 April 2025 - As regulatory frameworks for Artificial Intelligence take shape around the globe, organizations are seeking ways to embed transparency, accountability, and risk controls into their AI operations. The EU AI Act in particular sets clear expectations for companies that develop or use AI systems with significant societal or safety implications—especially in sectors like healthcare, finance, manufacturing, and public administration.
In response to this growing need, DQS is now offering global certification for ISO 42001, becoming one of the first certification bodies worldwide to do so. The new international standard provides a certifiable framework for managing AI systems responsibly, helping organizations prepare for regulatory alignment and build credibility in an evolving landscape.
A Structured Approach to AI Management
ISO 42001 is the first globally recognized standard for AI Management Systems (AIMS). It supports organizations in operationalizing key principles such as risk assessment, human oversight, data quality, and continuous monitoring—across the entire AI lifecycle. Based on the common structure of ISO management system standards, it integrates seamlessly with established compliance and governance processes.
In the context of the EU AI Act and similar developments worldwide, ISO 42001 provides a practical foundation for implementing the processes and responsibilities required to meet regulatory and ethical expectations. By adopting the standard, organizations can demonstrate foresight, mitigate compliance risks, and strengthen their internal controls.
Positioning for Trust and Long-Term Readiness
Particularly for companies operating in AI-intensive or highly regulated environments, ISO 42001 certification is a strong signal of reliability. It shows that systems involving AI are subject to systematic governance, aligned with industry best practices and international norms. Whether in financial decision-making, clinical diagnostics, or industrial automation, organizations gain assurance that their use of AI is being managed with diligence and accountability.
“At DQS, we see it as part of our mission to bring emerging standards into practical application early on—so that companies can future-proof their digitalization strategies and establish trust in their systems from the outset. By doing so, we empower organizations worldwide to engage confidently with new technologies while aligning with upcoming regulatory and societal expectations” says Ingo M. Rübenach, CEO of DQS.
