Enterprise AI Agent Compliance & Audit Management Platform
Project description
EAI-CAMP: Enterprise AI Agent Compliance & Audit Management Platform
EAI-CAMP is a comprehensive enterprise platform that addresses the critical gap between AI agent deployment and regulatory compliance. Unlike existing solutions that focus on either AI orchestration or compliance monitoring separately, EAI-CAMP provides a unified ecosystem for enterprises to develop, deploy, test, audit, and continuously monitor AI agents while ensuring full compliance with global regulatory frameworks.
🚀 Key Features
Phase 1 Features (Current)
- Agent Orchestration: Register, start, stop, pause, and resume AI agents
- Compliance Engine: Real-time compliance checking against GDPR, HIPAA, SOX, and other frameworks
- Audit Management: Blockchain-style immutable audit trails with integrity verification
- Interactive UI: Streamlit-based dashboard for monitoring and management
- Enterprise-Ready: Multi-tenant architecture with role-based access control
Supported Compliance Frameworks
- GDPR (General Data Protection Regulation)
- HIPAA (Health Insurance Portability and Accountability Act)
- SOX (Sarbanes-Oxley Act)
- PCI-DSS (Payment Card Industry Data Security Standard)
- CCPA (California Consumer Privacy Act)
- ISO 27001 (Information Security Management)
📦 Installation
From PyPI (After publishing)
pip install eai-camp
From Source (Development)
git clone https://github.com/yourusername/eai-camp.git
cd eai-camp
pip install -e .
For Development
git clone https://github.com/yourusername/eai-camp.git
cd eai-camp
pip install -e ".[dev]"
🏃 Quick Start
1. Launch the UI
streamlit run eai_camp/ui/app.py
2. Programmatic Usage
import asyncio
from eai_camp.core.agent_orchestrator import AgentOrchestrator
from eai_camp.core.compliance_engine import ComplianceEngine
from eai_camp.agents.compliance_agent import ComplianceAgent
from eai_camp.agents.base_agent import AgentConfig
async def main():
# Initialize core components
orchestrator = AgentOrchestrator()
compliance_engine = ComplianceEngine()
# Create and register a compliance agent
config = AgentConfig(
name="My Compliance Agent",
description="Monitors compliance across systems"
)
agent = ComplianceAgent(config, compliance_engine)
agent_id = await orchestrator.register_agent(
agent=agent,
name=config.name,
owner="admin",
tags=["compliance", "monitoring"]
)
# Start the agent
await orchestrator.start_agent(agent_id)
print(f"Agent {agent_id} is now running!")
# Stop after demo
await asyncio.sleep(5)
await orchestrator.stop_agent(agent_id)
if __name__ == "__main__":
asyncio.run(main())
🧪 Testing
Run All Tests
pytest
Run with Coverage
pytest --cov=eai_camp --cov-report=html
📄 License
This project is licensed under the MIT License.
🤝 Contributing
We welcome contributions! Please feel free to submit a Pull Request.
EAI-CAMP - Bridging the gap between AI innovation and regulatory compliance.
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