MCP-ORIENTED GENERATIVE AI ASSISTANTS: TRUSTWORTHY AND POLICY-DRIVEN ARCHITECTURE FOR FINANCIAL SERVICES

Authors

DOI:

https://doi.org/10.30890/2567-5273.2025-41-03-055

Keywords:

generative assistants, large language models (LLM), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), semantic search, compliance, AML/KYC, operator copilot, guardrails, Model Risk Management (MRM), PII, latency SLO, p95/p99

Abstract

Financial institutions have accumulated vast corpora of regulatory policies, procedures, case notes, and operational documents, creating an overwhelming cognitive burden for compliance officers, risk managers, and operations teams. Traditional information

References

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Published

2025-10-30

How to Cite

Цимбал, А. (2025). MCP-ORIENTED GENERATIVE AI ASSISTANTS: TRUSTWORTHY AND POLICY-DRIVEN ARCHITECTURE FOR FINANCIAL SERVICES. Modern Engineering and Innovative Technologies, 3(41-03), 95–107. https://doi.org/10.30890/2567-5273.2025-41-03-055

Issue

Section

Articles