AI fundamental

Security and trust boundaries

Instruction/data boundaries, prompt injection, source trust, least privilege, validation, approval, auditability, and residual risk.

Explanatory foundation

Guiding question

When does an AI system stop treating text as evidence and start treating it as authority?

Use the answer to interpret evidence and limits rather than to substitute technical vocabulary for observation.

Related units

Where this fundamental is taught

Open the complete Friday guide for the conceptual input, demonstration, experiment, caveat, and transfer activity.

Unit 09

Security and Trust Boundaries in Human-AI Collaboration

This Friday makes security concrete as a control problem. Participants experience how LLM systems can confuse untrusted content with trusted instruction, and how workflow design, source governance, permissions, and human checkpoints affect controllability.

Security and trust boundariesSystem literacy