The "Trusted AI" label aims to regulate the uses of AI in France.

As the AI Act is gradually being implemented within the European Union, the question of its practical application is now arising for French organizations.

Between legal requirements, technical constraints, and governance issues, the European text is fundamentally reshaping how artificial intelligence systems are designed and operated.

It is in this context that the FnTC (French Federation of Trusted Third Parties in the Digital Sector) brought together several institutional and economic stakeholders on February 18th to structure an operational response. The outcome: a methodological guide to compliance and the announcement of a future label called "Trusted AI". A guide to translating the AI Act into concrete requirements. Around the table were representatives from the CNIL (French Data Protection Authority), ANSSI (French National Cybersecurity Agency), ACPR (French Prudential Control and Resolution Authority), and DINUM (French Digital Affairs Directorate), alongside banking players such as Groupe BPCE and Société Générale. This configuration is revealing, because compliance with the AI Act is not solely a legal matter, but also involves cybersecurity, data protection, and information systems governance. Thus, the The guide published by the FnTC aims to bridge the gap between the European regulation and its operational implementation. Indeed, the AI Act distinguishes several levels of risk, ranging from prohibited practices to high-risk systems, including generative AI models. In concrete terms, the proposed framework is structured around criteria such as data and model transparency, auditability, technical robustness, and organizational responsibility. Human oversight also plays a key role, with areas focusing on employee training, bias management, and partner involvement. A label to differentiate compliant players: Beyond the guide, the FnTC is preparing to create a "Trusted AI" label, aiming to provide the market with a clear signal to identify organizations that have structured their AI governance in accordance with the European framework. In sectors such as banking, insurance, and healthcare, where AI systems can be considered "high risk," the ability to demonstrate formalized compliance could become a competitive advantage. Like ISO 27001 certifications or SecNumCloud qualifications, this label aims to serve as a benchmark for public and private sector buyers. Furthermore, the joint involvement of regulators such as the CNIL (French Data Protection Authority) and the ACPR (French Prudential Control and Resolution Authority), from the design phase onward, strengthens the credibility of the approach. Faced with the proliferation of competent authorities depending on the use case, ranging from personal data to cybersecurity and even financial supervision, the emergence of a common framework could reduce uncertainty for CIOs and CISOs. As the AI Act becomes established in the European regulatory landscape, compliance is no longer limited to an internal exercise but is becoming a strategic indicator.