physical-ai-toolchain

📋 Overview

Security documentation for the Physical AI Toolchain covering threat analysis, deployment hardening, and vulnerability reporting.

📄 Documents

Document	Description
Threat Model	STRIDE-based threat analysis and remediation roadmap
Deployment Security Guide	Security configuration inventory and deployment responsibilities
Release Verification	Verify release artifact provenance and SBOM attestations
SECURITY.md	Vulnerability disclosure and reporting process

🔒 Security Posture

This reference architecture deploys AKS clusters with GPU node pools, Azure Machine Learning, and NVIDIA OSMO for robotics training and inference. All components are infrastructure-as-code artifacts; no hosted service or user-facing application exists.

The threat model documents:

• 19 threats across STRIDE categories
• Security controls mapped to each threat
• Trust boundary analysis across IaC, cluster, and ML pipeline layers
• Prioritized remediation roadmap

The security guide documents:

• Default security configurations shipped with the architecture
• Deployment team responsibilities before, during, and after provisioning
• Security considerations checklist with Azure documentation references

🔗 Related Resources

• Contributing security review: Contributor security checklist for pull requests
• Azure security documentation: Authoritative security guidance for Azure services
• AKS baseline architecture: Production-ready AKS security patterns

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