SecureBank Architecture Introduces Financially Aware Zero Trust Model for Banking

Global: SecureBank Architecture Introduces Financially Aware Zero Trust Model for Banking

Researchers have unveiled SecureBank, a Zero Trust framework specifically engineered for high‑assurance banking environments, incorporating financial risk modeling, adaptive identity trust, and impact‑driven automation. The architecture was assessed through a Monte Carlo simulation that compared it to a conventional rule‑based baseline using metrics such as the Transactional Integrity Index (TII), Identity Trust Adaptation Level (ITAL) and Security Automation Efficiency (SAE).

Industry Shift Expands Threat Landscape

Financial institutions are increasingly adopting distributed architectures, open‑banking APIs, cloud‑native infrastructures, and high‑frequency digital transactions, which collectively broaden the attack surface and expose shortcomings in traditional perimeter‑based security models.

Limitations of Current Zero Trust Frameworks

While Zero Trust principles address many modern threats, most existing frameworks do not explicitly embed transactional semantics, financial risk assessment, adaptive identity scoring, or automation weighted by economic impact.

SecureBank Architectural Components

The proposed SecureBank framework integrates four core elements: Financial Zero Trust, Adaptive Identity Scoring, Contextual Micro‑Segmentation, and Impact‑Driven Security Automation, each designed to align with regulatory expectations while responding to real‑time financial risk.

Evaluation Methodology

Researchers employed a Monte Carlo simulation to evaluate SecureBank against a representative rule‑based baseline. The simulation measured performance across the Transactional Integrity Index (TII), Identity Trust Adaptation Level (ITAL) and Security Automation Efficiency (SAE) to quantify improvements in security posture.

Key Findings

Results indicate that SecureBank markedly enhances automated attack handling and accelerates identity trust adaptation, all while preserving conservative, regulator‑aligned levels of transactional integrity.

Implications for Regulated Financial Environments

The authors intend SecureBank to serve as a reference architecture and evaluation baseline for financially aware Zero Trust systems operating within regulated banking sectors.

This report is based on information from arXiv, licensed under Academic Preprint / Open Access. Based on the abstract of the research paper. Full text available via ArXiv.