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 Dr. Josh Emdur, DO — a board-certified physician licensed in all 50 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 architecturally immune to 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 if our system prompt were fully extracted, our AI cannot prescribe, diagnose, or recommend — because the output filter catches it, the input sanitizer blocks it, and the model is constrained to data retrieval. Defense in depth means no single point of failure.
Found a vulnerability in our AI safety layer, API, or data pipeline? We take every report seriously and respond within 48 hours.
security@solvinghealth.com