aegisAI

AegisAI is a next-gen AI governance platform built on multi-agent system. It offers real-time GenAI compliance monitoring, risk detection, and dynamic policy enforcement using AWS services.

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AegisAI - Multi-Agent AI Governance Platform

🎯 Inspiration

With the rapid adoption of Generative AI across industries, the lack of trust, transparency, and policy enforcement poses serious risks—from biased outputs to policy violations and regulatory non-compliance. We were inspired to create a governance-first AI system that empowers organizations to deploy GenAI responsibly, without sacrificing innovation.

We imagined a platform where multiple specialized AI agents work together, like a digital compliance team, to monitor, audit, and guide generative models in real time.

🤖 What it does

AegisAI is a multi-agent AI governance platform built to monitor, analyze, and enforce compliance for GenAI systems. It includes:

  • Real-time prompt screening and output auditing
  • Policy enforcement based on user role, context, and time
  • Audit logging with sensitive data sanitization
  • Advisory guidance using natural language suggestions
  • Anonymous feedback collection and sentiment analysis
  • A live governance dashboard with risk scores and agent metrics

🏗️ How we built it

Frontend:

  • Built using React 18 + TypeScript
  • Tailwind CSS for a clean, responsive UI
  • Recharts for real-time visualizations
  • Role-based access control for Admin, Analyst, and Users

Backend:

  • Python 3.9 with FastAPI
  • Serverless orchestrator using AWS Lambda
  • Integrated with:
    • Amazon Bedrock for prompt and output LLM analysis
    • DynamoDB for stateful data
    • OpenSearch for logging and auditing
    • Cognito for secure authentication

AI Agents: Each of the 6 agents is designed to specialize in a unique governance task and is coordinated via the backend orchestrator.

🧗 Challenges we ran into

  • Role-aware enforcement: Building real-time dynamic policy enforcement based on user context took more time than expected.
  • Bias and toxicity scoring: Training and evaluating custom metrics using prebuilt models required tuning.
  • AWS integration at scale: Coordinating Lambda, Bedrock, Cognito, and OpenSearch to function seamlessly under a unified backend.
  • Dashboard streaming: Ensuring real-time updates without overloading the client or backend.

🏅 Accomplishments that we're proud of

  • Designed and implemented 6 interoperable governance agents
  • Built a live demo dashboard with streaming metrics
  • Integrated Amazon Bedrock to power intelligent LLM-based analysis
  • Delivered a production-ready, scalable solution with enterprise-grade auditing
  • Maintained a modular and extensible architecture for future agents or integrations

📚 What we learned

  • Building trust in AI requires governance to be as real-time and intelligent as the models themselves
  • Multi-agent systems are powerful for distributing responsibility across specialized components
  • AWS provides a strong foundation for serverless and scalable GenAI governance workflows
  • Thoughtful UX and contextual education are essential to support ethical AI use

🚀 What's next for AegisAI

  • Add real-time streaming audits via WebSockets and EventBridge
  • Expand to multi-language support and federated learning
  • Build mobile applications for monitoring and governance-on-the-go
  • Launch an API marketplace for integrating custom rulesets, policy engines, or external LLMs
  • Open-source our agent framework to encourage community-driven extensions

AegisAI is more than a compliance tool—it's your AI's ethical co-pilot. 🛡️

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