Alinma Bank is a leading financial institution operating within a highly regulated environment, increasingly adopting advanced technologies such as Artificial Intelligence to support business growth and innovation.
As part of its broader cybersecurity and enterprise security architecture initiatives, the bank required a structured approach to integrate AI governance, risk, and compliance considerations into its strategic direction.
This engagement delivered the integration of AI governance and security into enterprise cybersecurity frameworks, enabling responsible, secure, and compliant AI adoption aligned with business and regulatory expectations.
Lack of structured AI governance and integration within existing cybersecurity and enterprise frameworks
Integration of AI governance, risk, and compliance into enterprise cybersecurity strategy and capability models
Secure, compliant, and structured AI adoption aligned with business and regulatory objectives
Defined AI governance and security principles aligned with regulatory expectations
Integrated AI risk considerations into existing cybersecurity and risk management frameworks
Incorporated AI-specific controls into enterprise cybersecurity capability models
Ensured alignment with standards including ISO/IEC 42001, NIST AI Risk Management Framework, and banking regulatory expectations such as Saudi Central Bank
Addressed risks related to model integrity, data protection, and operational resilience
Aligned AI initiatives with enterprise architecture to ensure consistent control implementation
Enabled a structured and scalable approach to secure AI adoption
Integration of AI governance into enterprise cybersecurity strategy
Alignment with international AI and regulatory frameworks
Structured approach to managing AI risks and secure adoption
Through this engagement, Alinma Bank established a structured and secure approach to integrating AI into its enterprise ecosystem, enabling responsible innovation aligned with regulatory and business objectives.
