Krystal OSOnly if personal details never reach the AI. A nonprofit that serves minors, patients, survivors or people in recovery cannot paste a case note into a chatbot and hope. The safe pattern is to swap every name, contact and identifier for a stand-in before the AI sees anything, generalize dates of birth and addresses, withhold identifiers like Social Security numbers entirely, and swap the stand-ins back only after the answer returns.
Where the risk actually sits
The risk is not the AI writing a bad report. It is a participant's name, address and diagnosis leaving your systems in a prompt, where you no longer control where it goes or how long it is kept. Every AI feature in every tool you use is a place that can happen, including the ones marketed as safe.
What "safe" has to mean in practice
- Stand-ins for people: names, phone numbers, emails and places like a school or clinic are replaced before the AI is asked anything, and restored afterwards.
- Generalization for the rest: a date of birth becomes an age range; an address becomes a general area. The report still works; the person is no longer identifiable.
- Withholding for identifiers: Social Security and card numbers are never sent at all.
- Free text included: a name in the middle of a case note is caught the same way as a name in a form field, while a church or foundation in the same sentence is left alone.
- No saved key: the mapping between a stand-in and a real person exists for the duration of the request and is then gone.
Questions to ask any vendor
- Does every AI feature go through the same protection, or only some?
- What exactly leaves your systems in the prompt? Ask for a redacted example.
- Is free text like case notes covered, or only structured fields?
- Is the link between stand-ins and real people stored anywhere, and for how long?
- What do your logs contain: the details themselves, or only how many were protected?
How Krystal does it
Every place Krystal uses AI, writing a report, reading a document you upload, answering a question or finding a grant, goes through the same anonymization layer. No feature skips it. Names, phone numbers, emails and places are swapped for stand-ins; a birth date becomes an age range and an address a general area; Social Security and card numbers are never sent at all. A name inside a case note is caught the same way. Stand-ins are swapped back before anything reaches your screen, the key linking them to a real person is never saved, and Krystal's records show how many details were protected, never what they were.
Does anonymizing the data make the AI's report worse?
No. A funder report is about counts, rates and outcomes, none of which depend on a participant's real name. The draft reads the same; the stand-ins are swapped back before you see it.
Is this the same as HIPAA compliance?
No. Anonymizing what reaches the AI is one control among several an organization with HIPAA obligations needs. Treat it as necessary, not sufficient, and confirm the rest with your compliance advisor.
Does the protection apply to data that comes in through connected tools?
In Krystal, yes. Anything that arrives through a connection is protected the same way once Krystal's AI touches it.