GovGuard AI Governance Platform

💡 Inspiration

With the rapid advancement of large language models (LLMs), enterprises face rising challenges around AI safety, regulatory compliance, and trustworthy outputs.
We were inspired to build a system that goes beyond passive moderation and enables real-time, intelligent governance of AI outputs — like a firewall, but for LLMs.
Our goal: Empower organizations to safely adopt AI while staying compliant with regulations like GDPR, ISO 42001, and the EU AI Act.

🛡️ What it does

GovGuard is a real-time, multi-agent governance platform that:

Analyzes user prompts and LLM outputs on the fly
Flags policy violations (PII, hate, misinformation, bias, hallucination)
Logs interactions for compliance and auditing
Suggests safe alternatives using fallback or moderated LLM responses
Uses Perplexity AI to fact-check claims
Enables configurable governance policies for enterprise needs
Visualizes violations, agent actions, and system health via a modern dashboard

🛠️ How we built it

Frontend: Vite + React + Tailwind CSS
Backend: Node.js, Groq LLM API, Perplexity API

Multi-Agent System:

Policy Enforcer Agent
Audit Logger Agent
Live Feedback Agent
Perplexity Verifier Agent
Fallback LLM Agent

APIs & Services:

Groq + Gemma 2 9B for ultra-fast LLM responses
Perplexity for real-time verification
Firebase for optional persistent storage

Deployment:

Hosted on AWS EC2 (Free Tier), linked to custom domain multiguard.online
Monitoring: Live logging, error feedback, flag history, approval workflows

🚧 Challenges we ran into

Integrating LLMs and agents dynamically with consistent latency
Handling fallback logic when primary APIs fail
Designing an intuitive UI for complex violation data
Managing rate limits of free-tier APIs
Ensuring the system remains lightweight while still functional on free EC2 instances

🏆 Accomplishments that we're proud of

Developed a fully functional AI governance firewall in a short time
Achieved <2s inference time using free-tier LLM APIs
Created a multi-agent architecture with modular agents
Built a responsive dashboard that simulates enterprise-grade compliance tooling
Deployed on AWS EC2 with a custom domain + NGINX + PM2

📚 What we learned

How to build robust multi-agent AI systems
How to integrate Groq and Perplexity APIs effectively
How to deploy full-stack GenAI apps on cloud infrastructure
Advanced prompt moderation, hallucination detection, and fallback LLM strategies
Creating scalable, modular systems for real-world enterprise problems

🚀 What's next for GovGuard AI Governance Platform

🧠 Add support for Claude, OpenAI, and Mistral models via modular plugins
🔐 Deeper enterprise integrations (Okta, Slack, etc.)
🌍 Auto-adjust policy agents based on country-specific regulations (e.g., HIPAA, FISMA, NIS2)
🧾 Add exportable compliance reports (PDF, JSON, CSV)
🔄 Integrate human-in-the-loop moderation workflows
💼 Offer as an SDK + API layer for companies building GenAI tools