AI Governance & Responsible AI in Qatar Banking: From QCB Regulation to Execution

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About the Webinar

As Qatari banks rapidly adopt Artificial Intelligence and Generative AI across critical business functions, the Qatar Central Bank (QCB) has issued clear expectations for how AI systems must be governed, monitored, and controlled. AI is now subject to continuous oversight across its entire lifecycle, with explicit regulatory focus on ongoing risk assessment, control effectiveness, behavioral monitoring, adversarial resilience, and model drift. This executive webinar provides a structured interpretation of QCB’s AI governance expectations and demonstrates how banks can move from traditional, point-in-time AI validation to continuous testing and monitoring models aligned with supervisory requirements. The session further explores Responsible AI controls, NIST-based AI risk assessment practices, and independent risk validation approaches to help institutions scale Generative AI securely, transparently, and in strict conformance with QCB regulations. Curated for CISOs, CROs, and senior risk leaders, the webinar delivers a practical, regulator-aligned operating model for sustainable and defensible AI adoption in Qatar’s banking sector.

Date - February 11th, 2026
Time - 11:00 AM to 12:00 PM AST

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Speakers

Dr. Anjan Krishnamurthy, An experienced cybersecurity professional with over 18 years of experience in Industry and Academia. He holds a Ph.D. in Computer Science and Engineering, specialising in network security, cryptology, and cyber forensics. He is an active member of several professional bodies and has published extensively in the field. He has filed five patents related to advanced technology applications in cybersecurity and artificial intelligence and has over 75 publications in reputed journals and conferences. He has been instrumental in transforming Research to products for global markets.

Renju Varghese, A seasoned cybersecurity expert with 18 years of experience, specializing in pioneering research and development of cutting-edge cybersecurity solutions. As the Vice President of Forensics and Research at SISA, he has been instrumental in launching innovative security practices and products, particularly in hardware security and artificial intelligence (AI). He has developed patent-pending solutions, including an AI model scanning solution for Responsible AI compliance and an AI model risk assessment framework. As the author of the annual "SISA Top 5 Forensic Report", he provides critical insights into global cybersecurity trends and breaches.

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