AI and Fintech Governance in Saudi Arabia 2026: Regulatory Framework, Requirements, and the Future of the Financial Sector

📌 Quick Summary: AI Governance in Saudi Arabia's Financial Sector

• 🤖 Definition: An integrated system ensuring responsible and safe use of AI in the financial sector
• 🏛️ Regulatory Bodies: SDAIA (ethical principles), CMA (robo-advisory regulation), SAMA (financial services governance), NCA (cybersecurity) [10]
• 📜 Key 2026 Regulations: Robo-Advisory Services Regulation (March 2026), Financial Market Institutions Regulation 2026 [8]
• 📊 Core Principles: Transparency, accountability, fairness, safety, privacy, human oversight [13]
• 🎯 Importance: Investor protection, market confidence, enabling responsible innovation, achieving Vision 2030 [12]
• 📈 Growth Forecast: 16.6% CAGR, $2.8 billion market by 2031 [3]

AI governance in the financial sector is a set of policies, procedures, and regulatory frameworks that ensure the responsible and safe use of AI technologies in financial institutions [13]. This governance aims to:

• 🔹 Ensure transparency: Understanding how AI models make decisions [12]
• 🔹 Enhance accountability: Establishing clear responsibility for decisions made by AI systems [13]
• 🔹 Ensure fairness: Avoiding bias and discrimination in algorithms and data [13]
• 🔹 Protect privacy: Complying with personal data protection laws [12]
• 🔹 Ensure safety: Continuously testing and monitoring AI systems [12]
• 🔹 Human oversight: Establishing clear paths for human intervention in high-risk decisions [12]

Saudi regulators emphasize that AI must fall within the Board of Directors' purview, not merely a file referred to the IT department [1]. The regulatory framework treats AI as a strategic decision no less important than expansion decisions, capital management, or adopting new financial products [1].

To understand the broader importance of corporate governance, see the Complete Guide to Governance in Saudi Arabia.

The regulatory framework for AI governance in Saudi Arabia's financial sector comprises several integrated regulatory bodies [10]: AI deployment in Saudi Arabia is not one compliance conversation but three intersecting conversations [10].

The biggest challenge is that institutions treat these requirements as separate workstreams when they are actually one integrated system [10]. The practical approach is to build an AI governance foundation on SDAIA ethics and ISO 42001, then map AI systems against NCA controls, and finally add SAMA requirements for any AI that touches financial products or customer data [10].

In a move reflecting the Kingdom's commitment to developing the investment environment and enhancing regulatory frameworks for fintech, the CMA Board approved on 5 March 2026 amendments to the Financial Market Institutions Regulation, including the regulation of robo-advisory services [8][9].

The amendments aim to enhance market efficiency and expand the range of financial services offered through modern technologies, providing innovative and effective solutions for investors, and opening new investment channels suited to different segments, especially individual investors [9].

Key Regulatory Requirements [8][9]

The amendments also allow capital market institutions licensed to conduct investment management to offer robo-advisory services, provided that portfolio investments are not concentrated in a single asset or securities of a single issuer [9]. If the service is offered on securities issued or listed outside the Kingdom, those securities must be subject to the supervision of a regulatory body with comparable standards [9].

The Saudi Central Bank (SAMA) plays a pivotal role in AI governance in the financial sector, focusing on AI-powered financial services in banks, fintech companies, and payment service providers [10][12].

Key Requirements from SAMA [12]

• Explainability of Decisions: Banks and fintech companies must maintain the explainability of AI-powered decisions, especially in credit scoring, fraud detection, and customer profiling [12]
• Third-Party Risk Management: Managing risks associated with AI technology suppliers [12]
• Integration with Cybersecurity Framework: Integrating AI governance within SAMA's cybersecurity framework, covering risk management, governance structures, and operational resilience of AI-powered financial services [10]

The Governor of SAMA noted that the rapid integration of AI across financial systems underscores the need for robust governance, transparency, and accountability to mitigate systemic operational risks [3]. He also emphasized the importance of aligning innovation with regulation, ensuring that market developments do not outpace regulatory readiness [3].

In March 2026, SAMA granted the first Open Banking licenses to fintech companies, marking the transition from pilot testing to mainstream regulated services [3].

To learn more about the role of governance in the financial sector, see the Complete Guide to the Professional Master's in Governance.

The Saudi Data and Artificial Intelligence Authority (SDAIA) is the national reference for data and AI in the Kingdom, establishing ethical principles and regulatory frameworks for responsible AI use across all sectors [10][13].

The AI Ethical Principles issued by SDAIA consist of six core principles [13]:

• 👁️ Transparency: Understanding how AI systems make decisions
• ⚖️ Accountability: Establishing clear responsibility for decisions made by AI systems
• 🤝 Fairness: Avoiding bias and discrimination in algorithms and data
• 🛡️ Safety: Continuously testing and monitoring AI systems
• 🔒 Privacy: Complying with personal data protection laws
• 👤 Human Oversight: Establishing clear paths for human intervention in high-risk decisions

Key requirements for AI governance under the SDAIA framework include [0]:

• Written frameworks and policies governing responsible AI use [0]
• Establishing a dedicated governance unit with clear mandates and authorities [0]
• Systems for regulatory compliance, reliability, and safety assurance [11]

The SDAIA AI Ethics Framework is the official framework for responsible AI, defining AI ethics as values, principles, and techniques that guide ethical behavior in developing and using AI technologies [5].

The National Cybersecurity Authority (NCA) is responsible for protecting national critical infrastructure in the Kingdom and applies the Essential Cybersecurity Controls (ECC) to AI systems classified as national critical infrastructure [10][12].

NCA requirements for AI systems include [12]:

• Secure Development: Applying secure development practices to AI systems
• Access Control: Ensuring access control to AI systems and data
• Logging and Monitoring: Activity logging and monitoring of AI systems
• Incident Response: Having incident response plans for AI-related incidents

AI systems can be classified as critical infrastructure based on their use and impact, meaning that MLOps environments, model pipelines, and AI APIs all fall within NCA scope [10].

For more on cybersecurity in Saudi Arabia, see the Complete Guide to Cybersecurity in Saudi Arabia.

Based on the regulatory frameworks issued by supervisory authorities, key requirements for financial institutions in Saudi Arabia can be summarized as follows [12]:

The AI market in Saudi Arabia's financial sector is experiencing rapid growth, driven by Vision 2030 and significant investments in digital transformation. The AI in Finance market in Saudi Arabia is projected to grow at a CAGR of 16.6%, reaching $2.8 billion by 2031, up from $1.3 billion in 2026 [3].

Key Growth Drivers [3]

• 🏛️ Vision 2030: Accelerating digital transformation and economic diversification
• 🤖 Year of AI 2026: Designating 2026 as the "Year of AI" by the Council of Ministers in March 2026, reflecting the Kingdom's commitment to accelerating the adoption of advanced technologies [4]
• 🏦 Open Banking: Granting the first open banking licenses in March 2026, opening new avenues for innovation [3]
• 🧪 FinTech Lab: A regulatory sandbox allowing companies to experiment with AI solutions under controlled conditions [3]
• 📈 Increasing Demand for Digital Financial Services: Growing adoption by individual investors of digital solutions

The AI Ethical Principles play a pivotal role in enabling this growth by providing the regulatory framework that ensures responsible AI use and enhances confidence in the financial market [13]. AI ethics is as much a market access issue as it is a policy issue [13].

To ensure compliance with AI governance regulatory requirements, compliance and risk leaders can take the following practical steps [12]:

Regulators are expected to issue more detailed rules on AI auditing, certification of high-risk AI systems, and cross-border data considerations [12]. Institutions that invest now in robust AI governance will avoid penalties and build trust with customers, partners, and regulators [12].

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Ofoq Academy: Your Partner in Professional Development in Governance and Fintech

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