Building & Securing
Enterprise AI
Infrastructure
Documenting what it actually takes to design, deploy, and secure AI systems. From GPU network segmentation to governance-as-code to incident response playbooks — built by a practitioner with 20 years in cyber defense & infrastructure security.
Latest Episode
Why AI Infrastructure Needs Its Own Security Architecture
Enterprise AI infrastructure is being deployed at speed without security architecture designed for AI-specific threats. Traditional network security doesn't account for GPU cluster lateral movement, model weight exfiltration, training data poisoning, or inference endpoint abuse.
Video coming soon
Why AI Infrastructure Needs Its Own Security Architecture
What You'll Find Here
Five enterprise-grade artifacts. Twelve videos. One integrated AI security program. Everything is downloadable and production-ready.
Security Architecture
5-layer reference architecture with MITRE ATLAS mapping, control matrices, and implementation roadmap.
Governance Framework
Governance-as-code with OPA/Rego policies, automated deployment gates, and risk tiering.
Threat Modeling
MITRE ATLAS-based threat modeling with blank template and completed enterprise example.
TCO Model
Cloud vs. hybrid vs. on-prem comparison for 100 H100 GPUs over 3 years with 15 adjustable variables.
NIST AI RMF Bridge
Translates NIST AI RMF into existing CISO program structures with gap analysis and implementation checklist.
Live Demo Lab
8-service Docker environment with three-zone network isolation, RAG pipeline, and monitoring stack.
Core Competencies
The skills behind the artifacts.
AI Security Architecture
- MITRE ATLAS threat modeling
- 5-layer defense-in-depth design
- GPU cluster network segmentation
- AI-specific SIEM rule development
AI Governance & Compliance
- NIST AI RMF implementation
- Governance-as-code (OPA/Rego)
- EU AI Act compliance mapping
- Model risk tiering frameworks
Infrastructure Engineering
- Docker / Kubernetes orchestration
- GPU infrastructure (NVIDIA ecosystem)
- MLflow, LangChain, ChromaDB
- Prometheus / Grafana monitoring
Security Operations
- AI incident response playbooks
- Supply chain security (Trivy, Sigstore)
- Red team / adversarial testing
- NIST CSF 2.0 program management
Built by Nicholas Vidal
AI Security, Cyber Defense & Compliance Architect with nearly 20 years of experience across federal and enterprise environments. Every artifact, every lab configuration, and every video in this series is backed by production-grade security engineering.