Safeguarding data integrity and trust in artificial intelligence-augmented government financial ecosystems
Vamsee Pamisetty · 2025
This chapter presents a cybersecurity protocol relevant to AI-enhanced government financial services, particularly governmental payment services such as disbursing social welfare payments, public sector payrolls, or stimulating the economy with rebate payments dispersed to taxpayers. This paper posits that an AI-enhanced government financial service environment must prioritize cybersecurity against external and internal adversarial threats. The need for a cybersecurity protocol supporting data integrity and user trust in modern public finance threatens the ability and authority of governments to ensure or regulate the use of such advanced systems. Data management risks leading to the deterioration of government fiscal capabilities and authorities highlight the need for a tailored data operations protocol. As governments delegate the task of delivering public service robustly during naturally occurring crisis events, natural disasters, market failures, pandemics, or war, to the broader market, a trusted data operations system using AI-enabled systems to create government services must be protected against data integrity and trust risks.