Video Series
Building and Understanding AI Infrastructure — a 12-part series documenting what it actually takes to design, deploy, and secure AI systems. Each video walks through enterprise-grade artifacts built from real architecture decisions.
FoundationArchitecture & Threat Surface
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.
Reference ArchitectureThreat-Modeling an AI Deployment in 60 Minutes
Security teams know how to threat-model traditional applications using STRIDE or attack trees. But AI systems have fundamentally different attack surfaces — data poisoning, model extraction, prompt injection, adversarial inputs — that existing threat modeling frameworks don't cover.
Threat Model TemplateThe 5-Layer Security Architecture for Enterprise AI
Enterprise AI infrastructure spans physical hardware, networking, identity, pipelines, runtime, and monitoring — but there is no widely adopted reference architecture that integrates security across all of these layers specifically for AI workloads.
Reference ArchitectureRiskRisk Translation & Operational Mapping
What CISOs Get Wrong About AI Risk
CISOs are being asked to incorporate AI risk into their programs, but the NIST AI RMF speaks a different language than traditional cybersecurity frameworks. Most CISOs either ignore AI risk entirely or treat it as a separate compliance exercise disconnected from their existing security program.
NIST AI RMF Bridge GuideMapping NIST AI RMF to Your Existing Security Program
The NIST AI RMF is comprehensive but written for AI practitioners, not security leaders. CISOs reading it cannot quickly identify which requirements their existing programs already satisfy and which represent genuine gaps.
NIST AI RMF Bridge GuideGovernanceGovernance-as-Architecture & Implementation
Why AI Governance Fails and How to Fix It
Traditional AI governance exists as a policy function: documents, review boards, annual audits. These programs fail because they are disconnected from engineering workflows, produce unenforceable policies, and create friction without operational value.
Governance FrameworkBuilding Governance into the ML Pipeline
Even organizations that understand governance-as-architecture struggle with implementation. How do you translate governance policies into code that runs inside ML platforms? How do you enforce deployment gates without creating bottlenecks?
Governance FrameworkOperationsEconomics, Supply Chain, Monitoring & IR
What Enterprise AI Infrastructure Actually Costs
AI infrastructure decisions are being made without rigorous cost modeling. Cloud GPU sticker prices hide networking egress, storage IOPS, and managed service premiums that add 30-50% to the real cost. On-prem deployments underestimate power, cooling, and personnel costs by 2-3x.
TCO ModelSecuring the AI Supply Chain
AI pipelines have deep supply chain dependencies: Python packages, CUDA libraries, container base images, pre-trained model weights. Supply chain compromise at any point introduces vulnerabilities into the training pipeline. Most ML teams do not scan dependencies, sign model artifacts, or verify container images.
Reference ArchitectureBuilding an AI Security Monitoring Stack
Enterprise SIEM and monitoring systems were built for IT infrastructure. They have no detection rules for AI-specific threats: prompt injection patterns, model extraction via API probing, training data exfiltration, adversarial input campaigns, model drift indicating data poisoning.
Reference ArchitectureAI Incident Response — What’s Different
Security teams have mature IR processes for traditional systems. But AI-specific incidents require new procedures: model quarantine, training data breach investigation, prompt injection containment — these are IR procedures that don’t exist in most security programs.
Bridge Guide + Threat Model