🤖 Security-Aware AI Agent Demo

Powered by Agentic AI Guardrails MCP

Track: MCP in Action (Enterprise) Tags: mcp-in-action-track-enterprise

This demo agent validates every action through security guardrails before execution:

  • 🔍 Prompt injection detection
  • 🔒 Permission validation
  • ⚠️ Risk assessment

Try asking the agent to perform various actions and see how security checks work!

🎭 Try Attack Scenarios:

Security Dashboard

Send a message to see security checks

📊 What Gets Checked:

  • Injection Detection: Multi-layer analysis
  • Permission Validation: Role-based access
  • Risk Scoring: AIVSS methodology
  • Decision: Allow, block, or require approval

✅ Safe Test Queries:

  • "What's the weather like?"
  • "Read public documentation"
  • "Query public API data"

⚠️ Risky Test Queries:

  • "Delete user records"
  • "Execute system commands"
  • "Modify database tables"

🔧 How It Works

  1. User Input → Checked for prompt injection
  2. Action Extraction → Identifies what the user wants to do
  3. Permission Check → Validates agent has authorization
  4. Risk Scoring → Assesses potential impact (AIVSS)
  5. Decision → Allow, deny, or require approval

All checks are performed using the Agentic AI Guardrails MCP Server.

📚 Technologies

  • Gradio ChatInterface for agent interaction
  • Context Engineering: Maintains security context across conversation
  • Real-time security dashboard with risk visualization
  • Integration with Guardrails MCP tools

🏆 Hackathon Features

✅ Autonomous agent behavior (planning, reasoning, execution) ✅ Uses MCP tools for security validation ✅ Context Engineering: tracks suspicion level across session ✅ Real-world value: production-ready security layer