The Ultimate Multi-Cloud Intelligence & Security Command Center.
Monitor, Predict, and Secure your cloud infrastructure with AI-driven insights and graph-based attack path analysis.
CloudIntelligence is a state-of-the-art Cloud Native Application Protection Platform (CNAPP) designed for the modern enterprise. It bridges the gap between FinOps, SecOps, and Compliance by providing a unified "Single Pane of Glass" for all your cloud assets across AWS, GCP, and Azure.
Beyond simple vulnerability lists, CloudIntelligence understands Reachability.
- Neo4j Powered Graph Analysis: Visualize complex attack vectors that traditional scanners miss.
- Deep Attack Paths: Identify multi-hop lateral movement risks from internet-exposed resources to critical data.
- Blast Radius Analysis: Instantly calculate the potential impact of a single compromised node.
- Automated Remediation: One-click security fixes and configuration hardening.
Stop reacting to bills and start predicting them.
- ML-Based Forecasting: 30-day cost projections using linear trend analysis and anomaly detection.
- Intelligence Profiling: Every resource gets a "Volatility Score" and "Efficiency Rating".
- Multi-Cloud Optimization: Unified savings recommendations across all providers (Idle VMs, Unused Buckets, Reserved Instances).
Real-time audit-ready posture for global standards.
- Framework Support: SOC2, HIPAA, PCI-DSS, and ISO 27001.
- Automated Evidence Collection: No more manual spreadsheet tracking.
- Drift Detection: Instant alerts when a resource falls out of compliance.
| Layer | Technologies |
|---|---|
| Frontend | Next.js 14, TypeScript, Tailwind CSS, D3.js (Graph Visuals), Recharts |
| Backend | FastAPI (Python 3.10+), SQLAlchemy (Async), Pydantic v2 |
| Database | PostgreSQL (Relational), Neo4j (Graph), TimescaleDB (Time-series) |
| AI/ML | Scikit-learn (Isolation Forest for Anomaly Detection), Linear Forecasting |
| Messaging | WebSockets (Real-time broadcasting), Kafka (Event stream) |
CloudIntelligence is provider-agnostic. We integrate natively with:
- AWS: IAM, EC2, S3, RDS, Lambda, CloudTrail.
- GCP: Compute Engine, Cloud Storage, IAM policies, GKE.
- Azure: Virtual Machines, Storage Accounts, Entra ID (AAD), Subscriptions.
- Python 3.10+
- Node.js 18+
- Neo4j Instance
- PostgreSQL
cd backend
python -m venv venv
source venv/bin/activate # or venv\Scripts\activate on Windows
pip install -r requirements.txt
# Configure your .env file
uvicorn app.main:app --reloadcd frontend
npm install
npm run dev- LLM Remediation Agent: AI-generated Infrastructure-as-Code (Terraform/CDK) PRs to fix security findings.
- Kubernetes Deep Scan: In-cluster security agent for GKE, EKS, and AKS.
- External Attack Surface Management (EASM): Scanning your public domain footprint.
- Advanced ML Models: Implementing Facebook Prophet for complex seasonal billing trends.
We welcome contributions! Please see our Contributing Guide for details.
This project is licensed under the MIT License - see the LICENSE file for details.
Built with ❤️ by the CloudIntelligence Engineering Team