Privacy-First AI Analysis

Privacy-First AI Analysis

It’s an approach to using machine learning on user feedback with privacy and security as top priorities. The aim is to gain useful insights without exposing sensitive information or violating privacy regulations.

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Why is this important?

  • Feedback stays protected.
  • You avoid compliance issues.
  • You build more trust.
  • It’s suitable for regulated industries.
  • You use AI in a responsible way.

How does it work?

Think: collecting only essential data, replacing names with anonymous labels, restricting data access, encrypting everything, and making sure data never leaves the platform. Everything aligns with major standards like GDPR and SOC2.

A few examples:

  • Removing personal details before running analysis.
  • Summarizing feedback without storing raw sensitive info.
  • Encrypting feedback data whether it’s stored or transmitted.

Where is this helpful?

  • Enterprise feedback systems.
  • Regulated sectors like healthcare and finance.
  • Teams focused on compliance.
  • Internal data governance.

How does Usersnap (Airis) help?

Airis keeps all your data within Usersnap’s secure infrastructure, designed for privacy. You get the insights you need from feedback—without risking sensitive user data.

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