Privacy-Preserving AI

Privacy-Preserving AI

Privacy-Preserving AI

Preserve robust customization, accuracy, and prediction capabilities while protecting the person's data and honoring their confidentiality.

Privacy versus Performance

Privacy vs. Performance

Privacy versus Performance

Secure high levels of personalization, accuracy and predictive performance while still protecting the personal data and user’s privacy. Discover the six foundational principles of privacy-preserving AI

Secure high levels of personalization, accuracy and predictive performance while still protecting the personal data and user’s privacy. Discover the six foundational principles of privacy-preserving AI

Secure high levels of personalization, accuracy and predictive performance while still protecting the personal data and user’s privacy. Discover the six foundational principles of privacy-preserving AI

PERFORMANCE

PERFORMANCE

PRIVACY

PRIVACY

Data Sanitization

Data Sanitization

Justifai analyzes your data architecture, use case and purpose and intelligently selects the right data sanitization method to optimize predictive performance.

Security-by-design

Security-by-design

Security-by-design

Justifai’s privacy-by-design architecture protects personal data, the data stays within the protected firewall and is never extracted for analytical purposes.

Privacy / Accuracy

Privacy / Accuracy

Justifai supports conscious decisions about the privacy/accuracy trade-off you need

Consent-aware

Consent-aware

Justifai can reason dynamically on consent preferences, optimizing the predictive performance. This means users have more control over data and that results will be personalized.

Data Minimization

Data Minimization

Data Minimization

Justifai supports data minimization, a goal oriented data storing and processing mechanism which reduces residual risk by only handling data necessary for the intended goal.

Explainability

Privacy Aware

Privacy Aware

Justifai supports privacy-aware explainability, tailoring the audit reports & explanations towards the privacy-clearance of the requestor