v3.0 Now Available • Open Source

CloudWarden v3

AI-Powered Multi-Cloud Security Platform

Local AI-driven cloud security platform that finds misconfigurations, maps attack paths, audits IoT/OT devices, analyzes quantum cryptography risks, and generates remediation-as-code. Privacy-first, enterprise-ready.

v3.0
Current Release
3 Clouds
AWS, Azure
Local AI
Ollama Integration
Q3 2026
v3.1 Multi-Cloud

Local AI Analysis

Privacy-preserving Ollama integration with confidence scoring and executive summaries

Attack Path Discovery

Dynamic graph analysis with AWS policy validation and risk scoring

Remediation-as-Code

Automated Terraform generation with validation and fix packs

Core Capabilities

Local AI Models

Self-hosted Ollama integration (llama3.1:8b, deepseek-r1:7b, mistral:7b) for privacy-preserving analysis with confidence scoring and executive summaries.

✓ No cloud costs • Privacy first

IAM Attack Paths

Graph analytics with NetworkX to discover and validate privilege escalation paths. Integrates AWS SimulatePrincipalPolicy for dynamic validation.

✓ Risk scoring 0-100 • Attack simulation engine

IoT/OT Security

Industrial protocol auditing (Modbus, OPC UA, DNP3, BACnet), AWS Greengrass scanning, certificate lifecycle monitoring, and device security assessment.

✓ Certificate expiry alerts • Protocol validation

Quantum Crypto Analysis

Assess quantum vulnerability of cryptographic algorithms, timeline estimates for quantum threats, and post-quantum migration roadmaps.

✓ PQC assessment • Migration planning

Automated Remediation

Generate Terraform fixes automatically, create fix packs for common issues, simulate changes before apply, and rewrite policies with AI suggestions.

✓ Terraform generation • Change validation

Executive Dashboard

Mobile-responsive intelligence dashboard with AI-generated business impact summaries that translate technical findings into executive context.

✓ Business impact analysis • Mobile-first UI

Compliance Mapping

Built-in compliance mappings for CIS AWS Foundations Benchmark, NIST Cybersecurity Framework, and IEC 62443 industrial security standards.

✓ Auto-mapping • Audit reports

REST API & SDK

Full REST API with Python SDK for programmatic access. Integrate with existing security workflows, SIEM platforms, and CI/CD pipelines.

✓ Python SDK • API documentation

Enterprise Deployment

Docker image available (novatitan/cloudwarden:v3.0.0), Kubernetes manifests included, AWS ECS Fargate examples, and CI/CD integration guides.

✓ Docker • Kubernetes • ECS

Command-Line Interface

Powerful CLI for quick security checks and automation

$ cloudwarden scan --comprehensive --with-ai
→ Starting comprehensive cloud security scan...
→ Connecting to AWS account [production]...
✓ IAM: 47 users, 18 roles analyzed
✓ S3: 23 buckets scanned for security
✓ Lambda: 12 functions audited
→ Analyzing attack paths with graph engine...
⚠ 3 privilege escalation paths discovered
→ Scanning IoT/OT devices and protocols...
✓ 8 Greengrass cores validated
⚠ 2 certificates expiring within 30 days
→ Analyzing cryptographic posture for quantum risks...
⚠ 5 services using RSA-2048 (quantum-vulnerable)
→ Running local AI analysis (Ollama: llama3.1:8b)...
✓ AI analysis complete (confidence: 94%)
📊 Executive Summary:
• 3 critical attack paths requiring immediate attention
• 12 high-priority misconfigurations detected
• 28 recommendations for security hardening
• 5 quantum-vulnerable encryption schemes
📈 Compliance: 94.2% (CIS AWS Foundations)
✓ Terraform remediation generated: fixes/remediate-2026-01-15.tf
✓ Report generated: cloudwarden-report-2026-01-15.pdf

Technology Stack

🐍
Python 3.11+
Core backend
🤖
Ollama
Local LLM runtime
🕸️
NetworkX
Graph analytics
☁️
Cloud SDKs
AWS, Azure
🐳
Docker
Containerization
☸️
Kubernetes
Orchestration
🔒
Bandit
Security scanning
🧪
pytest
Testing framework

Installation Requirements

Required

  • Python 3.11 or higher
  • Git for repository cloning
  • AWS CLI (configured credentials)
  • Ollama for AI features (self-hosted)

Optional

  • Docker for containerized deployment
  • Kubernetes for orchestration
  • Node.js 18+ for mobile dashboard

AI Model Downloads

Local LLM models require 4-7 GB storage per model. Recommended models: llama3.1:8b, deepseek-r1:7b, mistral:7b

Development Roadmap

v3.0 - Available Now
  • Local AI with Ollama
  • Attack path discovery
  • IoT/OT scanning
  • Quantum crypto analysis
  • Terraform remediation
  • Executive dashboard
v3.1 - Q3 2026
  • Azure & GCP support
  • Advanced ML anomaly detection
  • Mobile alerts & notifications
  • Kubernetes security scanning
  • Enhanced compliance reporting
v4.0+ - Future
  • Autonomous remediation
  • Predictive threat modeling
  • Supply chain analysis
  • Zero-trust architecture generator
  • Post-quantum crypto deployment

Open Source Development

CloudWarden v3 is developed openly on GitHub under the MIT license. View code, installation guides, API documentation, and contribute to the project.

View on GitHub

MIT License • Free for commercial and personal use

Enterprise Services

Professional Services

  • CloudWarden implementation & deployment
  • Custom dashboard development
  • AI model training & optimization
  • Compliance automation setup
  • 24/7 monitoring & response

Early Adopter Benefits

  • Priority support (24-48 hour response)
  • Roadmap influence & feature requests
  • Case study participation
  • Custom training & workshops
  • Direct access to development team

Need Enterprise Support?

Contact Nova Titan Systems for implementation assistance, custom features, or managed services.

Get Started with CloudWarden v3

Open source, enterprise-ready, and privacy-preserving cloud security. Download now or contact us for enterprise services.