Healthcare AI Agents
The healthcare industry faces a difficult dilemma. While Artificial Intelligence offers the potential for faster and more accurate diagnoses, patient data privacy regulations (such as HIPAA and GDPR) severely restrict data sharing. VeilCore OS resolves this conflict through Encrypted Compute.
The Scenario: Collaborative Diagnostics
Imagine a network of hospitals that wants to utilize a cutting-edge AI model trained to detect rare genetic disorders. However, no hospital is willing to upload sensitive patient DNA records to a centralized cloud server due to privacy risks.
The VeilCore Solution
Using VeilCore, the AI model is deployed as an autonomous agent within the ZK-VM.
Encrypted Input: The hospital encrypts the patient's genetic data locally using a public key derived from the agent's identity.
Blind Processing: The AI agent processes this encrypted data. The computation occurs inside the Zero-Knowledge Virtual Machine. The agent never "sees" the raw data, and the data is never decrypted during processing.
Verified Output: The agent produces two outputs. First, the diagnostic result (encrypted for the hospital). Second, a ZK-Proof confirming that the official diagnostic algorithm was applied correctly to the input.
Impact
This architecture allows for a global marketplace of medical AI agents. Developers can monetize their diagnostic models on a per-use basis without ever risking data breaches, and patients retain absolute control over their medical history.
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