EBA, EIOPA and ESMA call for enhanced governance and consistent supervision to mitigate ICT risks from frontier AI models in the EU financial sector
EBA, EIOPA and ESMA call for enhanced governance and consistent supervision to mitigate ICT risks from frontier AI models in the EU financial sector 31 July 2026 Digital Finance and Innovation Joint Committee The European Supervisory Authorities (EBA, EIOPA and ESMA – the ESAs) today published a statement calling for a cross-sectoral, risk-based and consistent supervisory approach to mitigate the ICT risks stemming from frontier AI models. The statement takes into account existing regulatory requirements, the European Commission’s Action Plan on Cybersecurity and Artificial Intelligence, as well as recent publications by the European Systemic Risk Board (ESRB), the European Union Agency for Cybersecurity (ENISA), the Single Supervisory Mechanism (SSM) and other competent authorities. The ESAs outline measures to help financial entities strengthen their operational resilience against cyber risks linked to frontier AI models. Particular emphasis is placed on the prevention, detection and management of these risks. The statement underlines that financial entities should have robust governance and risk management frameworks in place to support the effective management and mitigation of cyber risks associated with frontier AI models. It also updates on ongoing and planned DORA oversight activities for critical ICT third-party providers (CTPPs) to address this risk. The ESAs encourage both financial entities and competent authorities to use the statement as a basis for supervisory dialogue, taking into account existing supervisory expectations. Such an approach would help ensuring that the EU financial system remains resilient against the risks driven by frontier AI technologies. Further information: Tayfun Yilmaz Communications Officer press@esma.europa.eu 31/07/2026 JC 2026 25 ESAs' statement toward a consistent and risk-based approach for ICT risks from frontier AI models
Source: European Securities and Markets Authority · August 12, 2026 at 6:43 PM · AI-assisted report
KUALA LUMPUR, 13 AUGUST 2026 —
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EBA, EIOPA and ESMA call for enhanced governance and consistent supervision to mitigate ICT risks from frontier AI models in the EU financial sector 31 July 2026 Digital Finance and Innovation Joint Committee The European Supervisory Authorities (EBA, EIOPA and ESMA – the ESAs) today published a statement calling for a cross-sectoral, risk-based and consistent supervisory approach to mitigate the ICT risks stemming from frontier AI models.
The statement takes into account existing regulatory requirements, the European Commission’s Action Plan on Cybersecurity and Artificial Intelligence, as well as recent publications by the European Systemic Risk Board (ESRB), the European Union Agency for Cybersecurity (ENISA), the Single Supervisory Mechanism (SSM) and other competent authorities. The ESAs outline measures to help financial entities strengthen their operational resilience against cyber risks linked to frontier AI models.
Particular emphasis is placed on the prevention, detection and management of these risks. The statement underlines that financial entities should have robust governance and risk management frameworks in place to support the effective management and mitigation of cyber risks associated with frontier AI models. It also updates on ongoing and planned DORA oversight activities for critical ICT third-party providers (CTPPs) to address this risk.
The ESAs encourage both financial entities and competent authorities to use the statement as a basis for supervisory dialogue, taking into account existing supervisory expectations. Such an approach would help ensuring that the EU financial system remains resilient against the risks driven by frontier AI technologies.
Further information: Tayfun Yilmaz Communications Officer press@esma.europa.eu 31/07/2026 JC 2026 25 ESAs' statement toward a consistent and risk-based approach for ICT risks from frontier AI models (AI-assisted rewrite, based on the original source)
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