Data leakage and system prompt exposure
Eight places where secrets and private data escape from LLM apps (prompts, context, retrieval, logs, caches, fine-tuning, output channels, error messages), with concrete fixes, code and a canary-based audit you can run today.
14 minยทVerified 2026-11Pro+50 XP
LLM apps leak data in more places than most teams expect, and the leaks are rarely dramatic breaches. They are quiet: a system prompt pasted into a support chat, a log file with every conversation, a cache that served one customer's answer to another. This lesson walks the paths data takes out of an LLM system and gives you a fix and a test for each.
Pro content
Keep reading with Inference Academy Pro
Unlock the rest of this lesson, plus every advanced lesson, hands-on lab, the larger playground models and completion certificates.