We serve data, not decisions. Every AI response cites verified federal databases. No diagnoses. No prescriptions. No autonomous clinical actions. Here's how we keep it that way.
These aren't policies we hope our AI follows. They're architectural constraints enforced by code.
We surface what federal databases say. We never tell you what to do. Atlas answers are facts with citations, not recommendations with opinions.
Every AI response cites the specific database, record identifier, and query date. If you can't trace it back to a federal source, it doesn't leave our system.
Letters of Medical Necessity are reviewed and signed by our medical director — a board-certified physician licensed in in multiple states. No autonomous clinical actions, ever.
Our data comes from CMS, FDA, OIG, CDC, and NIH — verified federal databases with public provenance. Not from user input, web scraping, or model training data.
There is no ambiguity about what Atlas will and will not do.
Every AI query passes through four structural gates before a response reaches the user.
Prompt injection detection blocks extraction attempts, role-playing attacks, and fake authority claims
Every query is classified as data, clinical, dangerous, or extraction before reaching the model
The AI is structurally constrained to retrieve and cite federal data, never generate clinical advice
Every response is scanned for dosing advice, treatment recs, prescriptions, and prompt leakage before delivery
In 2026, a telehealth AI platform was compromised because it made autonomous clinical decisions from extractable system prompts. Attackers injected fake regulatory bodies to override dosing guidelines. Poisoned clinical notes persisted across patient sessions. The AI prescribed medications without physician review.
Solving Health is built to resist this class of attack. We serve verified federal data, not clinical recommendations. Our safety layer is enforced by middleware code, not by prompt instructions alone. Even a fully extracted system prompt does not turn our AI into a prescriber: an input sanitizer and an output filter check every exchange for prescribing, diagnosing or recommending, and the model is limited to data retrieval. Layered checks mean no single check has to hold on its own. No layer is a guarantee.
Found a vulnerability in our AI safety layer, API, or data pipeline? We take every report seriously. Send it through our contact form and choose “A privacy, legal or security request”.
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