07 / SECURITY
AI Infrastructure Security
Secure the infrastructure your AI depends on.
FORMAT5 live instructor-led sessions
LEVELAdvanced
DURATION5 sessions
LAB ACCESSIncluded
Who it's for
- · Platform and security engineers responsible for AI infrastructure, not model behavior
- · Teams operating sovereign, regulated, or air-gapped AI environments
- · Infrastructure architects who need a security review before going to production
Prerequisites
- · Production AI Infrastructure or equivalent GPU Kubernetes experience
- · Basic familiarity with Linux security primitives
What you will build
- · A hardened, multi-tenant GPU cluster with enforced isolation boundaries
- · A verified container and model artifact supply chain
- · An incident response runbook specific to AI infrastructure
What can break
- · A deliberately under-isolated multi-tenant cluster you must lock down
- · A poisoned image in the supply chain you must detect and remove
CURRICULUM
01
Isolation and identity
- · Multi-tenant GPU isolation
- · RBAC and network policy for AI workloads
02
Secrets and supply chain
- · Credential and secrets management
- · Container and model artifact integrity
03
Sovereign and air-gapped operations
- · Hardening disconnected AI environments
- · Patch and update strategy without external registries
04
Incident response
- · Detecting and responding to AI infrastructure incidents
- · Forensics on a compromised GPU node
Lab environment
Hands-on labs on a deliberately vulnerable multi-tenant GPU environment you must secure.
Outcomes
- · You can define and enforce isolation boundaries on shared GPU infrastructure
- · You can run incident response on AI infrastructure, not just application security
Instructor
Built by engineers who have operated infrastructure in the real world.
Mr. Bingi, Founder
Pricing
[Pricing to be announced]
FAQ
Is this about securing AI models or securing infrastructure?
Infrastructure. This course does not cover model security, prompt injection, or adversarial ML — it covers the systems AI workloads run on.
Is this relevant outside regulated industries?
Yes. Any team running shared or multi-tenant GPU infrastructure has the isolation and supply chain problems this course addresses.