SteveSharma-official/defending-tomorrow

# 🛡️ Defending Tomorrow: AI Security in the Age of Intelligent Threats **Author:** Steve Sharma | **Status:** Active Development | **Version:** 1.0 [](https://github.com/SteveSharma-official/defending-tomorrow/stargazers) [](https://opensource.org/licenses/MIT) [](http://makeapullrequest.com) ## 📚 About This Book *Defending Tomorrow* is the definitive practitioner's guide to AI security — written by a Principal Architect for senior security professionals, ML engineers, and SOC architects. **A practitioner's field manual for securing AI systems and weaponizing AI for defence.** **Key Metrics:** - 📖 15 chapters across 4 parts - 💻 60+ annotated code listings - ✅ 15+ printable checklists - 📊 35+ architecture diagrams - 🌏 Australian context with global applicability - **5-jurisdiction coverage** – US, UK, EU, Canada, Australia ## 📁 Repository Structure defending-tomorrow/ │ ├── code/ # Chapter-specific code listings │ ├── ch03-adversarial-ml/ # Chapter 3: FGSM, membership inference │ ├── ch04-secure-dev/ # Chapter 4: Differential privacy, safe serialization │ ├── ch05-mlops-security/ # Chapter 5: Terraform, K8s policies │ ├── ch06-llm-security/ # Chapter 6: Prompt injection, RAG security │ ├── ch07-advanced-defenses/ # Chapter 7: Neural cleanse, watermarking │ ├── ch08-threat-detection/ # Chapter 8: Autoencoders, LSTM models │ ├── ch09-automated-response/ # Chapter 9: Alert clustering │ ├── ch10-soar-platforms/ # Chapter 10: Adaptive playbooks │ ├── ch11-red-teaming/ # Chapter 11: Attack path graphs │ └── ch12-zero-trust/ # Chapter 12: Service mesh, ABAC │ ├── checklists/ # Printable assessment tools │ ├── pdf/ # PDF versions (printable, audit-ready) │ └── markdown/ # Markdown source files (editable) │ ├── diagrams/ # Architecture diagrams │ └── source-files/ # Draw.io, Excalidraw sources │ ├── docs/ # Documentation │ ├── appendices/ # Appendices A-E (glossary, tools, standards) │ └── examples/ # Usage examples │ └── notebooks/ # Jupyter notebooks │ ├── scripts/ # Utility scripts (automation, validation) │ ├── requirements.txt # Python dependencies ├── LICENSE # MIT License └── README.md # This file ## 🚀 Quick Start ## 📂 Folder Purpose Quick Reference | Folder | What It Contains | Who Should Use It | |--------|------------------|-------------------| | `/code` | Executable Python code by chapter | Developers, ML engineers, security researchers | | `/checklists` | Printable PDF and editable Markdown checklists | Auditors, compliance teams, security managers | | `/diagrams` | Architecture diagrams (PNG/SVG + source files) | Architects, presenters, documentation teams | | `/docs` | Appendices A-E (glossary, tools, standards, case studies) | Everyone - reference material | | `/examples` | Interactive Jupyter notebooks | Hands-on learners, trainers | | `/scripts` | Utility scripts for automation | DevOps, security automation engineers | ### Detailed Folder Contents **📁 /checklists** - 15 checklists from Chapters 1-15 - Format: Markdown (editable) + PDF (audit-ready) - Topics: Security posture, Zero Trust AI, Governance maturity **📁 /code** - Code listings referenced as `Code X.Y` throughout the book - Organized by chapter (`ch3_adversarial/`, `ch6_llm_security/`, etc.) - Dependencies listed in `/requirements.txt` **📁 /diagrams** - 35 diagrams available in Draw.io (`.drawio`) and exported PDF formats - Use case: Security architecture reviews, board presentations, regulatory submissions **📁 /docs** - **⚠️ Password-protected content** — Contact the author for access - Contains: Endorsement previews, draft chapters, high-resolution diagrams **📁 /examples** - Standalone demos: Adversarial training, RAG security, SOAR engine - Includes Jupyter notebooks and deployable applications **📁 /scripts** - Automation tools for repository maintenance - `generate_toc.py`, `validate_checklists.py`, etc. ```bash # Clone the repository git clone https://github.com/SteveSharma-official/defending-tomorrow.git cd defending-tomorrow # Install dependencies (if requirements.txt exists) pip install -r requirements.txt 📚 Chapter Reference Chapter Folder Topics Ch 3 code/ch03-adversarial-ml/ FGSM, PGD, model extraction, membership inference Ch 4 code/ch04-secure-dev/ Differential privacy (Opacus), safe serialization (safetensors) Ch 5 code/ch05-mlops-security/ Terraform, Kubernetes Pod Security Policies Ch 6 code/ch06-llm-security/ Prompt injection classifiers, RAG security Ch 7 code/ch07-advanced-defenses/ Neural Cleanse, backdoor detection, watermarking Ch 8 code/ch08-threat-detection/ Autoencoders, LSTM-based UEBA Ch 9 code/ch09-automated-response/ Alert clustering, dynamic containment Ch 10 code/ch10-soar-platforms/ Adaptive playbook engines Ch 11 code/ch11-red-teaming/ Attack path graphs (NetworkX) Ch 12 code/ch12-zero-trust/ Istio service mesh, ABAC policies ✅ Available Checklists ID Name Use Case 1.1 Initial AI Security Posture Assessment Quick start assessment 2.1 Threat Landscape Assessment Identify AI-specific threats 3.1 Adversarial Vulnerability Assessment Test model robustness 4.1 Pre-Training Security Checklist Before model training 4.2 Model Release Security Gate Production deployment 7.1 Advanced AI Model Security (20-point) Comprehensive verification 12.1 Zero Trust AI Implementation (50-point) Enterprise rollout 13.1 AI Security Governance Health Check Compliance readiness 15.1 Future-Proofing AI Security Strategic planning 📥 Download all checklists: checklists/pdf/ 📚 Appendices Appendix A: AI Security Assessment Frameworks (8 checklists) Appendix B: 50+ Open-Source Tools Catalog Appendix C: 200+ Term Glossary (AI + Cybersecurity) Appendix D: Standards Mapping (NIST, MITRE ATLAS, ASD Essential Eight, APRA CPS 234, ISO 42001) Appendix E: 5 Case Studies (Gov, Bank, OT/ICS, Defence, Healthcare) 🤝 Contributing We welcome contributions! Please see CONTRIBUTING.md for guidelines. Technical Reviewers Needed: Looking for CISOs, ML Engineers, and Security Architects. 📄 License Code samples: MIT License (free use with attribution) Diagrams & checklists: All rights reserved (book content) 🐛 Reporting Issues Open an issue for: Code corrections or bugs Clarification requests Security concerns (private disclosure available) 📬 Connect ⭐ Star this repository to stay updated with new chapters and code releases! **Book Pre-Release Updates** Want to know when the book is available? 📧 Email: steve@cybersecuritylink.com.au (put "Defending Tomorrow" in the subject) ## Author **Steve Sharma** — Principal Cybersecurity Architect, IRAP Assessor ## License MIT License