AI-Powered Security Monitoring System Development

Project Title

Build an AI-Powered Cross-Platform Security Monitoring & Incident Response System

Project Description

I am looking for an experienced cybersecurity and full-stack developer to build a modern AI-powered Security Operations Center (SOC) platform for my final-year engineering project.

Project Requirements

- Cross-platform endpoint monitoring (Windows, Linux, and macOS)
- Collect system logs, security events, and network activity
- Real-time threat detection and alert generation
- AI-powered incident analysis using an LLM
- Interactive dashboard for monitoring all connected devices
- Role-based authentication (Admin and Analyst)
- Asset inventory management
- Vulnerability scanning integration
- Malware detection support
- IOC (Indicators of Compromise) detection
- MITRE ATT&CK mapping
- Incident response playbooks
- Report generation (PDF/CSV)
- REST API for communication between components

Preferred Technology Stack

- Frontend: React or Next.js
- Backend: FastAPI (Python)
- Database: PostgreSQL
- Cache: Redis
- Message Queue: RabbitMQ or Kafka
- Search & Analytics: Elasticsearch
- Dashboard: Kibana or Grafana
- AI: OpenAI API or open-source LLM
- Containerization: Docker
- Deployment: Docker Compose

Deliverables

- Complete source code
- Database schema
- API documentation
- Installation guide
- Architecture diagram
- Well-commented code
- Testing documentation
- Deployment instructions
- 30 days of post-delivery support

Experience Required

- Cybersecurity
- Python/FastAPI
- React
- SIEM concepts
- Docker
- AI/LLM integration
- REST API development

Please include examples of similar cybersecurity or AI projects you have completed, your estimated timeline, and your total project cost.