Towards a National AI Security Framework for Financial Infrastructure Protection

Abstract

Artificial intelligence (AI) is increasingly embedded in modern financial infrastructure, including real-time payment systems, anti–money laundering (AML) platforms, credit risk assessment engines, and cross-border settlement networks. As financial institutions accelerate digital transformation, AI-driven decision-making has become essential for ensuring operational efficiency, fraud detection, and systemic stability. However, the rapid adoption of AI technologies within critical financial systems has simultaneously introduced a new class of security vulnerabilities. Emerging threats such as adversarial machine learning, model poisoning, data manipulation, automated fraud orchestration, and AI-enabled cyberattacks pose significant risks to the integrity and resilience of financial infrastructure. These risks extend beyond individual institutions, creating the potential for cascading failures across interconnected financial ecosystems and posing systemic challenges to national economic stability [1]. Despite the growing importance of AI security in financial operations, there is currently no unified national-level framework that comprehensively addresses AI-related threats within financial infrastructure. Existing cybersecurity standards and AI governance models often operate in isolation, lacking integrated mechanisms that align technical safeguards, operational monitoring, and regulatory coordination across institutions. This fragmentation limits the ability of financial systems to respond effectively to sophisticated AI-driven threats and undermines the development of a consistent [2], trustworthy AI security posture at scale. The absence of a standardized national architecture further complicates collaboration among banks, regulators, and technology providers, creating gaps in visibility, accountability, and coordinated defense [3]. To address these challenges, this paper proposes a National AI Security Framework for Financial Infrastructure Protection. The framework introduces a multi-layered architecture designed to secure AI-enabled financial systems through integrated model protection, data integrity assurance, adversarial defense mechanisms, real-time monitoring, and cross-institutional coordination [4]. At the technical level, the framework incorporates secure model development practices, privacy-preserving data sharing mechanisms, adversarial attack detection, explainable AI monitoring, and continuous risk assessment. At the governance level, it establishes mechanisms for inter-organizational collaboration, regulatory integration, and shared threat intelligence to support consistent security practices across financial ecosystems. By aligning technical safeguards with broader national risk management strategies, the framework enables financial institutions to proactively identify vulnerabilities, mitigate emerging threats, and maintain operational continuity in increasingly complex AI-driven environments [5]. The proposed framework also emphasizes alignment with national critical infrastructure protection priorities and trustworthy AI initiatives, providing a structured approach for integrating AI security into existing financial risk management and regulatory oversight processes. Through illustrative use cases in real-time payment networks, fraud detection systems, and cross-border financial transactions, this study demonstrates how a coordinated AI security architecture can enhance resilience, transparency, and trust across financial systems [6]. The framework is designed to be scalable and adaptable, supporting both individual institutional deployment and broader national-level coordination [7]. By establishing a unified and technically grounded approach to AI security, this research contributes to the development of a secure and resilient financial ecosystem capable of withstanding evolving technological and adversarial challenges. This study contributes toward building a resilient and trustworthy AI foundation for protecting national financial infrastructure [8].