Architecting Zero-Trust, Cloud-Native Sup Tech Platforms for Real-Time Financial Oversight

Abstract

The accelerating complexity of financial markets has driven regulators to adopt SupTech solutions capable of real-time oversight, yet traditional perimeter-based security and batch-oriented analytics remain ill-suited to emerging threats and data volumes. This paper introduces a cloud-native SupTech architecture founded on zero-trust principles—continuous authentication, least-privilege access, and micro-perimeter segmentation—to deliver resilient, compliant monitoring of high-velocity transaction streams. We detail a modular design comprising containerized microservices orchestrated by Kubernetes, a service mesh enforcing mutual TLS and policy-as-code, and an event-driven pipeline leveraging Apache Kafka for sub second ingestion, processing, and anomaly detection. A threat-model aligned with NIST guidelines informs dynamic risk assessments and adaptive controls, while policy mappings ensure adherence to Basel III, GDPR, and PSD2 mandates. A proof of-concept deployment demonstrates sustained throughput of 15,000 events per second with average end-to-end latency of 75 ms, 99% efficacy in blocking simulated lateral-movement attacks, and comprehensive auditability via immutable logs. By integrating zero-trust security with cloud-native scalability and real-time analytics, our platform framework empowers regulators to identify and mitigate systemic risks more proactively, laying groundwork for future predictive compliance capabilities.