Exclusive Boardroom Discussion
Global CIO Forum, in partnership with Group-IB, invites you to an exclusive boardroom discussion for Fraud Intel Kuwait.
As financial fraud becomes more sophisticated and organized, staying ahead requires real intelligence, collaboration, and the right technology.
Fraud Intel Kuwait brings together senior executives, cybersecurity leaders, and fraud risk professionals from the BFSI sector for a focused discussion on emerging threats and effective prevention strategies.
The Central Bank of Kuwait (CBK) has brought into effect an updated version of the precursor 2020 Cybersecurity Framework (CSF). The new framework – Cybersecurity and Operational Resilience Framework (CORF) – has been built to meet globally recognized standards such as NIST, ISO27001, and COBIT, in an attempt to strengthen cybersecurity and operational resilience across sectors in the region. The shift, implemented on 3 December 2025, is in response to evolving threats, adversarial technologies, and compliance and regulatory demands.
The path forward: Integrate the CBK Cybersecurity and Operational Resilience Framework (CORF)
The CBK Cyber and Operational Resilience Framework has set a clear direction for fraud prevention in the region. For Kuwaiti banks, CORF is more than a compliance exercise; it is an opportunity to address the most impactful fraud risks first, modernize digital channels, and build customer trust while progressing towards fraud resilience and improved prevention maturity over time.
Achieving this requires a phased approach, grounded in risk prioritization, practical implementation, and close alignment across cyber, fraud, and compliance functions. Across the GCC, regulators such as CBUAE and SAMA have already embraced this shift. Continuing the momentum, Group-IB supports Kuwaiti financial institutions throughout their CORF journey, enabling compliance through structured reviews, CORF control mapping, intelligence-driven and pre-transaction fraud prevention, advanced identity-bound approvals, and traceable, explainable AI-supported fraud decisions that can be validated by compliance and audit teams.