Prompt injection: direct, indirect, and how to contain both
Why the model can't fix it alone, what an attack hidden in a document looks like, and how to contain it.
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for governed AI.
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Finding the PII that pattern matching misses
Regular expressions find the personal data that looks like personal data. 'Maria in room 4B' identifies a patient and matches nothing. How a second, contextual pass catches it.
Read about PII detectionRunning language models in a fully air-gapped environment
How to run language models with no internet connection, and how to prove nothing leaves your network.
Read about air-gapped AIControlling what your AI is allowed to read
The settings that decide what your AI can read, and why they set the ceiling on accuracy.
Read about groundingThe questions a healthcare privacy review asks about your AI layer
What reaches the model, what gets recorded and who can see it: the questions that decide whether a clinical AI project passes review.
Read about HIPAABuilding an AI audit trail an examiner will accept
The hard question is what the system was set to do on a given day. Here's how to answer it, from a log of every settings change to exported evidence.
Read about audit trails
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