Governance in the Digital Age: Blockchain, Artificial Intelligence, and Audit as Integrated Mechanisms Against Financial Fraud in the Financial Services

The increasing sophistication of financial fraud in digitalized organizational environments demands a reassessment of the mechanisms through which governance, technology, and oversight interact. This theoretical study proposes and examines five research propositions connecting blockchain technology, artificial intelligence (AI), machine learning (ML), internal control systems (ICS), audit, and fraud detection and prevention (FDP) within a unified conceptual model grounded in the Fraud Diamond Model. Rather than treating these variables in isolation, the study argues that their combined and sequentially dependent operation determines organizational anti-fraud capacity. The Internal Control Matrix (ICM) is analyzed as the documentary scaffold linking technological inputs to actionable governance. Audit is theorized as a moderating variable that amplifies ICS effectiveness rather than merely verifying its existence. Findings contribute to the governance and accounting information systems literature by extending the Fraud Diamond to the organizational level and providing a testable structural framework for future empirical research in the financial services sector.