{"id":31302251,"url":"https://github.com/drhazemali/cyberpulse","last_synced_at":"2026-05-20T05:03:17.207Z","repository":{"id":296480204,"uuid":"993536291","full_name":"DrHazemAli/cyberpulse","owner":"DrHazemAli","description":"CyberPulse AI bridges AI and cybersecurity for advanced, real-time threat 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🚀 CyberPulse AI\n\n**CyberPulse AI** is a next-generation, AI-powered security monitoring system that **detects anomalies**, **analyzes threats**, and **provides real-time insights** to protect your digital assets.  \nDesigned for **production use** with **cloud-native architecture**, **Docker support**, **CI/CD pipelines**, and **state-of-the-art AI models**.\n\n![CyberPulse AI](https://github.com/DrHazemAli/cyberpulse/blob/main/assets/inforgraphic.png)\n\n\n## 🌐 What is CyberPulse AI?\n\nCyberPulse AI watches over your network, systems, and data like a heartbeat monitor for your digital world.  \nIt uses advanced AI models, cloud services, and a user-friendly interface to detect security threats **before they strike**.\n\n---\n\n## 🏗️ Architecture\n\n```\n+------------------------------------+\n|          User \u0026 Data Sources       |\n| (AD, Firewalls, NSGs, Custom Logs) |\n+------------------------------------+\n                |\n                v\n+------------------------------------+\n|      Azure Event Hubs (Streaming)   |\n+------------------------------------+\n                |\n                v\n+------------------------------------+\n|    AI Anomaly Detection Models     |\n| (Isolation Forest, LOF, OCSVM)     |\n| Deployed via Azure ML API          |\n+------------------------------------+\n                |\n                v\n+------------------------------------+\n|     CyberPulse AI Backend (API)    |\n|   REST API | Flask GUI | CLI       |\n+------------------------------------+\n                |\n                v\n+------------------------------------+\n| Azure Sentinel + Log Analytics     |\n| Prometheus + Grafana Dashboards    |\n+------------------------------------+\n```\n\n---\n\n## 🚀 Features\n\n✅ **AI-Powered Threat Detection**: Isolation Forest, Local Outlier Factor, One-Class SVM.  \n✅ **Azure-Native**: Sentinel, Event Hubs, ML, Key Vault (configurable).  \n✅ **Real-Time Dashboards**: Prometheus + Grafana, pre-configured templates.  \n✅ **REST API**: Expose services via FastAPI with SSL/TLS support.  \n✅ **CLI Tools**: Automate Azure setup, dataset downloads, and more.  \n✅ **Docker-Ready**: Run the entire stack in containers.  \n✅ **CI/CD Pipelines**: GitHub Actions workflows included.  \n✅ **Deployment Guide**: Step-by-step instructions for setup.  \n✅ **Extensible Architecture**: Add models, data sources, and integrations.\n\n---\n\n## 📂 Repository Structure\n\n```\n/CyberPulse-AI\n|-- azure-functions/          # Event Hub consumer code\n|-- azure-ml/                 # ML training \u0026 scoring\n|-- cli.py                    # CLI interface\n|-- api.py                    # REST API (FastAPI)\n|-- gui/                      # Flask GUI\n|-- datasets/                 # Sample data\n|-- reports/                  # Generated reports\n|-- monitoring/               # Prometheus \u0026 Grafana configs\n|-- deployment/               # Deployment scripts \u0026 guides\n|-- Dockerfile                # Docker container setup\n|-- docker-compose.yml        # Orchestrated deployment\n|-- requirements.txt          # Python dependencies\n|-- .github/workflows/        # CI/CD pipelines\n|-- README.md                 # This file!\n```\n\n---\n\n## 🛡️ Security \u0026 Best Practices\n\n- **Secrets Management**: Use `.env` and `Azure Key Vault` for credentials.  \n- **RBAC \u0026 Access Control**: Integrate with Azure AD for role-based permissions.  \n- **SSL/TLS**: Secure API endpoints with HTTPS.  \n- **Monitoring**: Real-time metrics with Prometheus \u0026 Grafana.  \n- **Alerting**: Azure Sentinel rules + custom queries.\n\n---\n\n## 🛠️ Deployment Steps\n\n1️⃣ **Azure Setup**:\n\n```bash\nbash deployment/deploy_azure.sh\n```\n\n2️⃣ **Docker Build \u0026 Run**:\n\n```bash\ndocker build -t cyberpulse-ai .\ndocker-compose up\n```\n\n3️⃣ **API \u0026 Reports**:\n\n```bash\npython api.py\npython generate_report.py\n```\n\n4️⃣ **Grafana**: Import `monitoring/dashboards/cyberpulse_dashboard.json`.\n\n---\n\n## 📊 Dashboards\n\n| Service    | URL                    | Default Credentials |\n|------------|------------------------|---------------------|\n| Flask GUI  | http://localhost:5000  | -                   |\n| Grafana    | http://localhost:3000  | admin / admin       |\n| Prometheus | http://localhost:9090  | -                   |\n\n---\n\n## 📈 Extending CyberPulse AI\n\n- Add ML models in `azure-ml/train_model.py`.\n- Configure API endpoints in `api.py`.\n- Create new CLI commands in `cli.py`.\n- Expand datasets in `datasets/`.\n- Define new dashboards in `monitoring/dashboards/`.\n\n---\n\n## 🎓 License \u0026 Credits\n\n© Hazem Ali | 2025\nGitHub: [DrHazemAli](https://github.com/DrHazemAli)\nLicensed under the MIT License.  \n\n---\n\n🚀 Stay vigilant. Stay secure. Welcome to CyberPulse AI.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdrhazemali%2Fcyberpulse","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdrhazemali%2Fcyberpulse","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdrhazemali%2Fcyberpulse/lists"}