fsi-genai-platform

Design secure AWS Generative AI architectures for financial institutions.

6|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/aws-samples/sample-fsi-reference-architecture-jp --skill fsi-genai-platform
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fsi-genai-platform
Source: https://github.com/aws-samples/sample-fsi-reference-architecture-jp/tree/main/skills/fsi-genai-platform
Command: npx skills add https://github.com/aws-samples/sample-fsi-reference-architecture-jp --skill fsi-genai-platform

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This skill addresses the complex challenge of building Generative AI workloads in highly regulated financial environments, ensuring compliance with FISC standards and robust security.

Core Features & Use Cases

  • Financial-Grade Security: Implements closed-network deployment, KMS encryption, and VPC-based communication to protect sensitive data.
  • Compliance Mapping: Provides a direct mapping to FISC Safety Standards (13th edition) for audit readiness.
  • Use Case: Use this skill to design a RAG-based internal knowledge search platform that adheres to strict network isolation policies and content filtering requirements.

Quick Start

Use the fsi-genai-platform skill to generate a security architecture review for a proposed Generative AI workload on AWS.

Frequently Asked Questions about fsi-genai-platform

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a secure Generative AI architecture on AWS for financial institutions?

To build a secure Generative AI architecture on AWS for financial institutions, implement closed-network deployment using VPC-based communication, KMS encryption, and Amazon Bedrock Guardrails to protect sensitive data and filter content.

Does Amazon Bedrock support FISC compliance for regulated financial workloads?

Amazon Bedrock supports FISC compliance requirements by enabling closed-network deployments and content filtering through Bedrock Guardrails, which can be directly mapped to the FISC Safety Standards 13th edition for audit readiness.

What's the best way to design a RAG-based knowledge search platform with strict network isolation?

The best way to design a RAG-based knowledge search platform with strict network isolation is to deploy within a closed-network VPC environment, utilizing KMS encryption and Amazon Bedrock Guardrails to enforce data protection and content security policies.

Can I use VPC-based data protection for customer support systems using Generative AI?

You can use VPC-based data protection for Generative AI customer support systems by routing all communication through closed-network environments and applying Amazon Bedrock Guardrails to filter generated content and secure sensitive financial data.

How do I map a Generative AI workload on AWS to FISC Safety Standards for audit readiness?

To map a Generative AI workload on AWS to FISC Safety Standards, use a reference architecture that provides direct compliance mapping to the 13th edition, ensuring VPC isolation, KMS encryption, and Bedrock Guardrails meet audit requirements.