Integrated Framework for Security, Compliance, and Business Intelligence in Cryptocurrency Enterprises

Le résumé fourni par la source

Cryptocurrency enterprises face three pressures at once: securing assets against technical exploitation, keeping pace with regulation still being written, and extracting actionable intelligence from complex transaction data. The literature addressing each pressure has developed along its own track. Security scholarship has matured around fraud and vulnerability detection. Compliance research has concentrated on anti-money laundering governance and regulatory technology. Business intelligence applications remain underexplored and are rarely built with cryptocurrency-specific demands in mind. The result is a fragmented knowledge base that offers enterprises little guidance on how to treat these three functions as anything other than separate concerns. This paper seeks to close that gap, drawing together findings across the three literatures to build a conceptual framework that maps how security monitoring, compliance governance, and business intelligence relate to one another. Grounded in institutional theory, the resource-based view, and regulatory dialectic theory, the framework treats the three functions as mutually reinforcing parts of a single risk-management architecture rather than independent silos. Rather than reporting empirical results, the paper offers a structured, theory-grounded model intended to anchor future testing and to give practitioners, compliance officers, and regulators a more integrated way of thinking about risk. It closes with four testable propositions for subsequent research.

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