SecureBank: A Financially-Aware Zero Trust Architecture for High-Assurance Banking Systems

This is an academic paper (arXiv) with 0 stars, 1 fork, no implementation velocity, and 99 days age—indicating it exists only as research documentation with no production code, working prototype, or user adoption. The README describes conceptual security principles for banking (Zero Trust + financial risk modeling), which is a reasonable combination of known domains, but entirely theoretical. Defensibility is minimal (score: 2) because: (1) no implementation exists to defend; (2) no users or adoption; (3) trivially reproducible as reference architecture since it's published academic work; (4) the core ideas (Zero Trust, risk modeling, adaptive auth) are well-established in security literature and financial risk management separately. Frontier risk is HIGH because: (1) Goldman Sachs, JPMorgan, and other tier-1 banks have in-house security architecture teams that would implement domain-specific Zero Trust models directly; (2) AWS, Azure, and GCP all have financial services compliance frameworks and could easily add risk-aware Zero Trust features; (3) Anthropic, OpenAI have been exploring autonomous agent security—adding financial semantics to authorization would be trivial for them; (4) this solves a specific problem that only applies to regulated financial institutions, making it a natural target for vertical platform consolidation (e.g., by a major bank or fintech infrastructure provider like Stripe, PayPal, or a cloud provider's financial services arm). The novelty is novel_combination (Zero Trust is known, financial risk modeling is known, but this paper combines them explicitly), not breakthrough, because the underlying security and risk principles predate this work. This is a research contribution, not a product or defensible platform. Implementation depth is theoretical—no code artifact to evaluate.