FHE use cases: Secure AI
FHE enables privacy preserving AI and machine learning directly on encrypted, sensitive data
Health and Pharmaceutical Use Cases
Sentiment Analysis
A healthcare provider may use sentiment analysis on patient feedback forms and online reviews to identify areas for improvement in patient care and support. Applying this to patients’ descriptions of their symptoms could indicate potential health risks or predict outcomes.
Healthcare Prediction
A healthcare provider can develop a predictive model to identify patients at high risk for certain health conditions, such as diabetes or heart disease, based on their medical records. Using FHE, patient data containing sensitive information remains encrypted and protected therefore complying with privacy regulations.
Financial Services Use Cases
Encrypted Credit Card Approval
Analyse sensitive credit card application data without actually revealing it. Using FHE, financial institutions can process encrypted data to predict credit approval outcomes without ever seeing the unencrypted information.
Encrypted Credit Score Rating
Credit scoring includes a model that predicts the chance that a given loan applicant defaults on loan repayment while keeping the user’s data private using FHE.
