Page 10 - Red Hat PR REPORT - SEPTEMBER 2025

Blog Post

Red Hat OpenShift AI achieves ISO 42001 AI certification,
reinforcing Red Hat's leadership in responsible AI

By Vincent Danen, Vice President, Product Security, Red Hat

September 11, 2025 - To CIOs and CISOs overseeing critical production systems, AI can
seem chaotic: It’s a dynamic, constantly evolving ecosystem, where current certifications and
standards may not apply the same way, if at all. But AI can’t be ignored - properly
implementing and integrating an AI strategy can be a massive boon to the enterprise, but the
key word is “properly.”

Red Hat has always been committed to having our platforms conform to the certification and
standards requirements of enterprise IT across industries. AI is no different, so we’re pleased
to announce that Red Hat OpenShift AI has successfully achieved ISO 42001

certification, the first international standard designed for establishing, implementing,
maintaining and continually improving an AI management system (AIMS).

ISO 42001 provides a comprehensive framework to help organizations manage the unique
risks and opportunities of enterprise AI. With its robust security feature set, Red Hat
OpenShift AI can deliver:
• Enhanced customer data protection tooling demonstrated through robust
security and privacy controls within Red Hat OpenShift AI which provides tools to
enable a customer to increase its security posture and data handling within the
platform.
• Industry standard alignment through a proactive approach to compliance,
helping Red Hat OpenShift AI keep pace with evolving industry and regulatory
expectations.

• Platform maturity alongside a strong compliance posture, which is validated by
a third-party audit confirming the maturity and effectiveness of Red Hat's internal
compliance framework for AI. This provides greater assurances to our customers
and partners that our AI development and deployment processes are governed
appropriately and with greater consistency.

Red Hat OpenShift AI, as part of Red Hat AI, provides an AI platform for managing the AI/(ML
lifecycle at scale across on-premise and public cloud environments. It brings together data
scientists and developers, with oversight from IT, to develop, train and fine tune generative
(gen AI) and predictive models, deliver AI-enabled applications and bring models from
experiments to production faster.