Gauz24 AI
Security & Privacy

Built to protect customer data, by default.

Gauz24 is designed with security, privacy, and data protection at its core, ensuring customer feedback is analyzed safely, responsibly, and in compliance with enterprise expectations.

Enterprise Data Security

Customer feedback often contains sensitive data.

Support tickets, surveys, and conversations frequently include personal identifiers, contact info, and internal confidential context. A VoC platform must protect this data by design.

"My email is navendu@gauz24.com and my phone number is +1-555-0123. Please check my order #99281."

Unprotected Raw Feedback

Sensitive data is protected automatically.

Gauz24 applies automated PII masking to customer feedback including names, emails, phone numbers, and identifiers. Masking occurs before insights are surfaced, reducing exposure risk.

Gauz24 Protected View

"My email is ●●●●●●●● and my phone number is ●●●●●●. Please check my order ●●●●●."

Email Masked Phone Masked ID Masked

The right people see the right data.

Gauz24 supports role-based access control (RBAC), controlled visibility across teams, and restricted access to sensitive feedback buckets.

  • Role-based access control
  • Field-level visibility settings
  • SSO & MFA enforcement
A
Admin
Full Access
M
Manager
Dept View Only
V
Viewer
Aggregates Only

Transparency without exposure.

Gauz24 maintains traceability of insights to source feedback, audit-ready data lineage, and clear separation between raw data and derived intelligence.

Source
Insight
Audit Log
10:42 AM User navendu@ accessed Ticket #9921
10:45 AM System masked 2 PII fields in new batch
11:00 AM Export generated (hashed IDs)
Privacy By Design

Built to align with modern privacy expectations.

Minimal Exposure

No unnecessary data replication or storage.

Data Governance

Strict controls embedded into every workflow.

Sovereignty

Regional data residency options available.

Trusted by teams with strict requirements

Enterprise Security Teams
Regulated Industries (FinTech, Health)
Data Privacy Officers
High-Volume Support Orgs

Confidently analyze feedback.

Turn customer signals into action without compromising data trust.