GenAI Multi-Agent Governance System

A real-time, multi-agent GenAI governance system built on AWS to enforce dynamic policy rules, ensure global compliance, and protect user trust.

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🌟 Inspiration

With rising regulatory demands like GDPR, HIPAA, and the EU AI Act, enterprises need robust AI governance. Manual compliance is slow and error-prone. This inspired a fully automated, real-time multi-agent system.

🛠️ What It Does

GenAI Multi-Agent Governance System is a cutting-edge, production-ready platform designed to ensure safe, ethical, and compliant use of Generative AI in enterprise environments.

Built with a robust multi-agent architecture, our system leverages specialized AI agents for prompt screening, output auditing, policy enforcement, advisory, feedback, and comprehensive audit logging.

🔐 Key Features:

  • Multi-Agent AI Governance: Each agent specializes in a critical aspect of AI safety, compliance, and quality, working together to provide holistic oversight.
  • Real AWS Integration: Seamless integration with AWS Bedrock, Comprehend, S3, KMS, DynamoDB, and Cognito for secure, scalable, and enterprise-grade operations.
  • End-to-End Security: JWT authentication, RBAC, and encrypted audit trails ensure data privacy and regulatory compliance.
  • User-Friendly Interface: Intuitive Streamlit frontend for real-time monitoring, analytics, and policy management.
  • Transparency & Accountability: Every AI interaction is logged, audited, and available for review, supporting responsible AI adoption.

This project empowers organizations to harness the power of GenAI while maintaining trust, transparency, and control — making it ideal for regulated industries and forward-thinking enterprises.

💻 How We Built It

  • Frontend: Streamlit + Plotly + pandas
  • Backend: FastAPI + Python 3.9 + Uvicorn
  • AI Services: Amazon Bedrock (Claude, Titan), Amazon Comprehend
  • AWS Infra: Lambda, DynamoDB, S3, CloudWatch, API Gateway, IAM, KMS, Cognito
  • Security: JWT Auth, RBAC (4 levels), TLS 1.3, encrypted logs
  • DevOps: Docker, CloudFormation, Testing coverage >90%

🚀 Features

  • Dynamic policy enforcement based on topic, domain, and user role
  • Multi-framework compliance support (GDPR, SOX, HIPAA, ISO 42001)
  • Anonymous feedback and real-time advisory system
  • Deployment ready: <200ms latency, auto-scalable

🔍 Challenges

  • Implementing true real-time governance within milliseconds
  • Designing modular agents that collaborate without conflict
  • Testing high-risk content securely

🧠 What We Learned

  • Multi-agent systems can be made scalable, efficient, and trustworthy
  • Responsible AI needs more than moderation — it needs audit, advice, and feedback

🛣️ What's Next

  • Mobile app integration
  • Industry-specific rule engines
  • AI Governance marketplace

Built With

  • amazon-bedrock
  • amazon-cognito
  • amazon-comprehend
  • amazon-dynamodb
  • amazon-web-services
  • aws-api-gateway
  • aws-cloudformation
  • aws-cloudwatch
  • aws-iam
  • aws-kms
  • aws-lambda
  • boto3
  • claude
  • docker
  • fastapi
  • jwt-authentication
  • pandas
  • plotly
  • pyjwt
  • pytest
  • python-3.9
  • rbac
  • restful-api
  • sdk
  • streamlit
  • titan
  • tls-1.3
  • uvicorn
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