Policy-Aware Service Mesh Architecture for Regulated Financial Platforms: Runtime Enforcement, Event Governance, and Trust Boundary Isolation
Ravindra Rajasekhar Kavuru
Service Mesh, FinTec, Runtime enforcement, Event governance, trust boundary isolation
Regulated financial platforms increasingly rely on microservices, event-driven workflows, partner APIs, issuer
adapters, and distributed data services to support high-volume consumer and enterprise operations. Existing service mesh
architectures provide important capabilities such as mutual TLS, traffic routing, service discovery, retries, and observability;
however, they do not fully address the compliance requirements of financial systems where service interactions may cross
regulatory, data-sensitivity, partner, issuer, or payment-security boundaries. This paper proposes a policy-aware service mesh
architecture for regulated financial platforms. The proposed architecture extends the conventional service mesh model with
runtime policy enforcement, data-domain classification, trust-boundary isolation, event payload governance, cryptographic audit
logging, and policy-versioned evidence generation. Using co-branded credit card platforms as the reference domain, the paper
demonstrates how application services, rewards systems, issuer adapters, partner gateways, compliance services, and AI-assisted
operational tools can interact through a mesh that enforces Zero Trust, least privilege, data minimization, and auditability by
design. The paper contributes a reference architecture that separates policy decisions from business logic while preserving
deterministic runtime enforcement and immutable audit reconstruction.
"Policy-Aware Service Mesh Architecture for Regulated Financial Platforms: Runtime Enforcement, Event Governance, and Trust Boundary Isolation", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.a69-a75, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606012.pdf
Volume 4
Issue 6,
June-2026
Pages : a69-a75
Paper Reg. ID: JETNR_234928
Published Paper Id: JETNR2606012
Downloads: 000154
Research Area: Science and Technology
Country: Everett, WA, United States
DOI: https://doi.org/10.56975/jetnr.v4i6.234928
ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
