How AI Can Strengthen Payment System Resilience
A new report outlines measures for using artificial intelligence in payments while maintaining reliability, protecting customer data and meeting regulatory requirements.
A new report examines how payment systems can adopt artificial intelligence while improving their ability to withstand disruptions.
It focuses on changes required as AI enters payment processing, fraud detection, customer verification and financial risk management. The report considers how payment providers can use AI while maintaining reliable systems, protecting customer data and complying with regulations.
It identifies operational risks linked to AI, including inaccurate decisions, cyberattacks, service outages and reliance on automated systems. Payment companies are expected to assess how AI tools affect existing controls and keep human oversight available for high-risk decisions.
The report addresses payment infrastructure that can continue operating during technical failures, cyber incidents and other disruptions. It highlights system testing, backup arrangements, monitoring and clear procedures for responding to errors.
It also examines how payment providers can prepare data and technology for AI applications. Reliable data, secure information-sharing practices and access controls can support automated systems and reduce the risk of misuse.
The report examines how payment firms, financial institutions, technology providers and regulators can assign responsibility for AI systems, review their performance and update safeguards as the applications develop.
Its findings cover preparations for payment systems that use AI while continuing to process transactions securely and reliably during future disruptions.








