Secure by Migration: Protecting Capital Markets Data in Transit and at Rest during On-Premises-to-AWS Warehouse Moves
DOI:
https://doi.org/10.15680/IJCTECE.2023.0604015Keywords:
Capital Markets Data Security, AWS Migration, Data Encryption, Data in Transit, Data at Rest, Cloud Security, Regulatory ComplianceAbstract
Capital markets data, trade records, position and holdings data, client account information, and the pricing and risk data that supports them, carries a combination of regulatory sensitivity and commercial value that few other categories of enterprise data share. When this data moves from an on-premises data warehouse to Amazon Web Services as part of a cloud migration, it passes through a sequence of states, extracted from the source environment, transferred across a network boundary, staged, loaded, and finally at rest in the destination environment, each of which presents a distinct exposure surface. A migration program that focuses exclusively on functional correctness while treating security as an assumed byproduct of the destination platform's capabilities leaves that exposure surface larger than it needs to be.
This article presents a structured approach to protecting capital markets data in transit and at rest throughout an on-premises-to-AWS data warehouse migration. It covers the shared responsibility model that governs security ownership in a cloud migration, the threat landscape specific to the migration event itself, encryption and key management practices for data at rest and in transit, and the identity, access, and monitoring architecture required to sustain protection after cutover. The approach draws on established practice in information security management, cloud security guidance, and financial services risk data aggregation principles to construct a pattern that is practical for production capital markets environments [1][3][4].
The article is organized into thirteen sections, moving from the capital markets data protection landscape and the migration specific threat landscape, through data at rest and in transit protection, identity and key management architecture, migration security methodology, governance, benchmarking data, and a quantitative analysis of the operational and financial case for investment. It closes with implementation challenges and a forward looking view of where capital markets cloud data security practice is headed.
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