AI Engineer · October 11, 2026

Student-assistant security lab: remove sensitive context and render output safely

video AI Red Teaming Prompt Injection Agent Security

Student-assistant security lab: remove sensitive context and render output safely video thumbnail

Why it matters

Micah Silverman’s student-assistant exercise contrasts instructions to hide grades with limiting the data supplied to the model. The linked mitigation repository implements a formatter that omits grades and a frontend that displays messages with textContent rather than interpreting HTML. These are inspectable controls outside the prompt. They address specific exposure paths; the example does not establish complete application security or per-user authorization.

My takeaway: Use synthetic student data and inspect the actual model request to confirm grades are absent. Feed harmless HTML-shaped output into the viewer and verify it stays text. Test user-level data access separately rather than relying on model refusals or the training certificate.

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