Novel approaches to database security and access control in multi-user financial systems

Posted: Oct 22, 2023

• Isabella Lopez
• Isabella Nelson
• Isabella Rodriguez

Abstract

The landscape of database security in financial systems has remained largely unchanged for decades, relying predominantly on static access control models that fail to address the dynamic nature of modern financial operations. Traditional approaches such as Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) operate on predetermined rules and static user attributes, creating significant vulnerabilities in environments where user behaviors, transaction contexts, and threat landscapes evolve continuously. Financial institutions face unprecedented challenges from sophisticated cyber threats, insider risks, and regulatory requirements that demand more intelligent and adaptive security frameworks. This research introduces a fundamentally new paradigm for database security that moves beyond conventional binary access decisions. Our approach recognizes that security in financial systems cannot be reduced to simple allow/deny determinations but must instead embrace the complexity and fluidity of real-world financial operations. The core insight driving our work is that effective security must be contextual, adaptive, and probabilistic rather than static and deterministic. We address several critical gaps in current financial database security. First, existing systems lack the capability to incorporate real-time behavioral context into access decisions. Second, traditional models cannot effectively handle the concept of partial or conditional access that aligns with the nuanced requirements of financial operations. Third, current approaches fail to learn and adapt from ongoing access patterns and emerging threat indicators.