Safety & Security
Prompt injection, guardrails, governance, and handling sensitive data.
7 tutorials, spanning 1 of the 17 learning layers — ordered so each builds on the last.
16Security
- Model Supply Chain RiskDownloading weights runs someone else's file on your hardware. What can hide in a model, an adapter, or a tool server.
- Handling PII and Sensitive DataPrompts leave your infrastructure, logs persist, and models memorize. Three exposure paths and what to do about each.
- AI Governance and ComplianceThe documentation and process obligations around shipping AI. What holds regardless of jurisdiction, and what to write down.
- Prompt InjectionInstructions and data arrive as the same thing. That is the vulnerability, it has no complete fix, and the defense is architectural.
- Jailbreaks and GuardrailsWhy safety training is a tendency rather than a rule, and how to build the enforcement layer that does hold.
- Content ModerationFiltering what goes in and what comes out. Where classifiers belong, and why over-blocking is as real a failure as under-blocking.
- Red-Teaming AI SystemsAdversarial testing of your own system before someone else does it. What to try, how to organize it, and what to do with findings.