Skip to content

INTEGRATION_GUIDE.md

Latest commit

 

History

History
304 lines (232 loc) · 9.11 KB

INTEGRATION_GUIDE.md

File metadata and controls

304 lines (232 loc) · 9.11 KB

GPU Security Toolkit - Integration Guide

This repository contains your complete GPU security documentation ready for mdBook deployment.

Current Status

✅ Repository structure created - All directories in place
✅ mdBook configuration ready - book.toml configured
✅ Table of contents complete - 80+ chapter structure in SUMMARY.md
✅ GitHub Actions configured - Auto-deploy on push
✅ Introduction written - Professional README and Quick Start
⏳ Content splitting needed - Your 5 large docs need to be split into chapters

Your Source Documents (Ready to Split)

You have ~170KB of production-ready security documentation:

  1. nvidia_gpu_security_controls.md (27KB) - NIST 800-53 controls
  2. gpu_threat_model_frameworks.md (46KB) - 10 frameworks + 8 threats
  3. gpu_use_case_security_guide.md (45KB) - Platform configs + hardware
  4. gpu_forensics_complete_guide.md (28KB) - Forensics procedures
  5. gpu_forensics_incident_response.md (24KB) - Additional forensics

Quick Start Options

Option 1: Deploy Immediately (Recommended for Testing)

# 1. Create a "monolithic" version first (all content in one file per section)
cp nvidia_gpu_security_controls.md src/controls/nist-800-53-full.md
cp gpu_threat_model_frameworks.md src/threats/threat-model-full.md
cp gpu_use_case_security_guide.md src/use-cases/platform-guide-full.md
cp gpu_forensics_complete_guide.md src/forensics/forensics-full.md

# 2. Update SUMMARY.md to point to these monolithic files temporarily
# (Or use the split structure we created)

# 3. Test build
cargo install mdbook  # If not already installed
mdbook build
mdbook serve --open

# 4. Push to GitHub
git init
git add .
git commit -m "Initial commit: GPU Security Toolkit"
git remote add origin https://github.com/YOUR-ORG/gpu-security-toolkit.git
git push -u origin main

Option 2: Split Content Properly (Best for Final Deployment)

Use this Python script to automatically split your documents:

#!/usr/bin/env python3
# save as: split_docs.py

import re
import os
from pathlib import Path

def split_by_h2_headers(input_file, output_dir):
    """Split markdown file by ## headers"""
    
    with open(input_file, 'r', encoding='utf-8') as f:
        content = f.read()
    
    # Split on ## headers (H2)
    sections = re.split(r'^## (.+)$', content, flags=re.MULTILINE)
    
    # First section is before any H2 (overview)
    intro = sections[0].strip()
    if intro:
        Path(output_dir).mkdir(parents=True, exist_ok=True)
        with open(f"{output_dir}/README.md", 'w') as f:
            f.write(intro + "\n")
    
    # Process H2 sections
    for i in range(1, len(sections), 2):
        if i+1 >= len(sections):
            break
            
        title = sections[i].strip()
        body = sections[i+1].strip()
        
        # Create filename from title
        filename = re.sub(r'[^\w\s-]', '', title.lower())
        filename = re.sub(r'[-\s]+', '-', filename)
        filename = f"{filename}.md"
        
        # Write file
        filepath = Path(output_dir) / filename
        with open(filepath, 'w') as f:
            f.write(f"# {title}\n\n{body}\n")
        
        print(f"Created: {filepath}")

# Split all documents
split_by_h2_headers('nvidia_gpu_security_controls.md', 'src/controls')
split_by_h2_headers('gpu_threat_model_frameworks.md', 'src/threats')
split_by_h2_headers('gpu_use_case_security_guide.md', 'src/use-cases')
split_by_h2_headers('gpu_forensics_complete_guide.md', 'src/forensics')

print("\n✓ All documents split successfully!")
print("Review the files in src/ directories")
print("Update src/SUMMARY.md to link to the new files")

Run with:

python3 split_docs.py

Option 3: Manual Organization (Most Control)

Manually copy relevant sections from your source documents to the mdBook structure:

Example: NIST 800-53 Controls

# Extract AC controls from nvidia_gpu_security_controls.md
# Copy to: src/controls/access-control.md

# Extract AU controls
# Copy to: src/controls/audit-accountability.md

# Etc for each control family

Repository Structure

gpu-security-toolkit/
├── README.md                     ✅ Professional GitHub README
├── SETUP.md                      ✅ Deployment instructions
├── INTEGRATION_GUIDE.md          ✅ This file
├── LICENSE                       ✅ Apache 2.0
├── Makefile                      ✅ Installation automation
├── book.toml                     ✅ mdBook config
│
├── Source Documents (To Split)
│   ├── nvidia_gpu_security_controls.md
│   ├── gpu_threat_model_frameworks.md
│   ├── gpu_use_case_security_guide.md
│   ├── gpu_forensics_complete_guide.md
│   └── gpu_forensics_incident_response.md
│
├── src/                          ✅ mdBook source
│   ├── SUMMARY.md               ✅ 80-chapter TOC
│   ├── introduction/            ✅ Intro + Quick Start
│   ├── controls/                📝 Copy from nvidia_gpu_security_controls.md
│   ├── threats/                 📝 Copy from gpu_threat_model_frameworks.md
│   ├── use-cases/               📝 Copy from gpu_use_case_security_guide.md
│   ├── forensics/               📝 Copy from gpu_forensics_complete_guide.md
│   ├── playbooks/               📝 Extract from forensics docs
│   ├── scripts/                 ✅ Created
│   ├── monitoring/              ✅ Created
│   └── appendix/                ✅ Glossary started
│
├── scripts/                     ✅ Executable scripts
│   └── respond_cryptomining.sh  ✅ Ready to use
│
├── configs/                     📝 Add your configs here
│   ├── kubernetes/
│   ├── prometheus/
│   └── dcgm/
│
└── .github/workflows/           ✅ Auto-deployment
    └── deploy.yml

Next Steps

1. Choose Your Approach

Quick Test: Use Option 1 (monolithic files)
Final Deployment: Use Option 2 (automated split)
Maximum Control: Use Option 3 (manual curation)

2. Test Locally

# Install mdbook if needed
cargo install mdbook

# Build
mdbook build

# Serve and preview
mdbook serve --open
# Opens http://localhost:3000

3. Deploy to GitHub

# Initialize repo
git init
git add .
git commit -m "Initial commit: GPU Security Toolkit"

# Create repo on GitHub: gpu-security-toolkit

# Push
git remote add origin https://github.com/YOUR-ORG/gpu-security-toolkit.git
git branch -M main
git push -u origin main

4. Enable GitHub Pages

  1. Go to repo Settings → Pages
  2. Source: Deploy from a branch
  3. Branch: gh-pages / (root)
  4. Save
  5. Wait 2-5 minutes
  6. Visit: https://YOUR-ORG.github.io/gpu-security-toolkit/

Content Mapping Reference

Here's where each section of your source docs should go:

nvidia_gpu_security_controls.md → src/controls/

  • Section 1 (Overview) → README.md
  • Section 2 (Access Control) → access-control.md
  • Section 3 (Audit & Accountability) → audit-accountability.md
  • Section 4 (Configuration Management) → configuration-management.md
  • Etc for all 8 control families
  • Zero Trust section → zero-trust.md
  • Performance section → performance-impact.md

gpu_threat_model_frameworks.md → src/threats/

  • Overview → README.md
  • Attack Surface → attack-surface.md
  • MITRE ATT&CK → mitre-attack.md
  • Each framework → its own file
  • Each threat scenario → scenario-*.md files
  • Risk matrix → risk-matrix.md

gpu_use_case_security_guide.md → src/use-cases/

  • Overview → README.md
  • Workstation section → workstation.md
  • Multi-GPU section → training-server.md
  • HPC section → hpc.md
  • vGPU section → vgpu.md
  • Kubernetes section → kubernetes.md
  • Each GPU family → hardware-*.md files

gpu_forensics_complete_guide.md → Multiple sections

  • Evidence collection → src/forensics/evidence-collection.md
  • Volatile evidence → src/forensics/volatile-evidence.md
  • Network capture → src/forensics/network-capture.md
  • Timeline → src/forensics/timeline.md
  • Cryptomining playbook → src/playbooks/cryptomining.md
  • Model theft playbook → src/playbooks/model-theft.md
  • Container escape → src/playbooks/container-escape.md
  • Script docs → src/scripts/*.md

Customization

Update book.toml

[book]
title = "Enterprise GPU Security Toolkit"
authors = ["Your Name", "Your Team"]

[output.html]
git-repository-url = "https://github.com/YOUR-ORG/gpu-security-toolkit"
cname = "gpu-security.your-domain.com"  # Optional custom domain

Update README.md

Replace placeholder URLs:

  • YOUR-ORG → Your GitHub organization
  • your-domain.com → Your domain (if using custom domain)

Support

Ready to Deploy?

# Quick test deployment
mdbook build && mdbook serve --open

# If it looks good
git push origin main

# Your documentation will be live at:
# https://YOUR-ORG.github.io/gpu-security-toolkit/

Questions? Review SETUP.md for detailed instructions.