10decodersCan your AI touch PHI without breaking HIPAA?
The fastest way to stall a healthcare AI project is to discover a compliance gap after it ships. In 10 questions, see exactly where your AI stands on PHI safety — and what it takes to be audit-ready.
AI models don't understand HIPAA. That's the whole problem.
A model will happily accept a full patient record, send it to a third-party API, and log it somewhere you can't audit. Staying compliant while deploying AI comes down to five controls — and a gap in any one is enough to stop a launch.
PHI reaches the model raw
Full records passed to AI systems that were never minimised, tokenised, or de-identified first.
No BAA behind the API
PHI flowing to a third-party model with no Business Associate Agreement — and no proof it isn't used for training.
Access is too broad
The whole project team can see PHI, with no least-privilege controls or regular review.
You can't audit it
No data lineage — you can't show a regulator which PHI a given AI output was based on.
No AI-aware breach plan
Prompt leakage and model exposure are new attack surfaces your incident plan may not cover.
Rate your PHI exposure in 10 questions
Ten questions across the five controls that determine whether your AI is HIPAA-defensible. Answer honestly — the score is only useful if you do.
Get your PHI-safety roadmap
We'll email your detailed diagnostic and book a 30-minute Clarity Sprint — a focused session where our team maps your fastest, defensible path to deploying AI on PHI.
“In HealthTech, the model is the easy part. Keeping PHI inside a controlled, auditable boundary while the AI does its job — that's the engineering that decides whether you ever reach production.”
Thomas · Chief Technology Officer, 10decoders
