Sanitize Sensitive Data
Before Using AI.
Secure your industry-specific data before using LLMs with our zero-trust, local-only sanitization engine.
Executive Summary: SUPPORT
Customer support is the most high-volume interaction point for PII. Transcripts, email threads, and Zendesk tickets are filled with account numbers and personal stories. Using AI for auto-categorization or sentiment analysis is efficient, but sending raw support data to a third party is a massive compliance risk. PrivacyScrubber's zero-trust workflow lets support teams redact PII instantly at the source. Analyze support trends without compromising customer trust or violating privacy mandates.
Privacy Checkpoints
- Ticket Anonymization: Scrub account IDs from Zendesk and Freshdesk before AI routing.
- Safe Sentiment: Analyze customer mood without exposing their personal identity.
- PII-Free Training: Build support knowledge bases without leaking real user data.
- Support Speed: Faster than manual redaction, safer than cloud APIs.
Identified Risks & Solutions
PII Detection Matrix
| Entity Type | Exposure Risk | Local Edge Control |
|---|---|---|
| Account IDs | High (Account Takeover) | Custom ID Regex |
| Support Transcripts | Medium (Contextual PII) | NLP-Aware Scrubbing |
| Customer Photos | Critical (Biometric) | Local-Only Handling |
The Support AI Privacy Gap
Data Persistence
Raw sensitive inputs are often stored by AI vendors for model training.
Compliance Liability
Uploading unredacted PII violates industry-specific global privacy mandates.
Shadow AI Risk
Employees using unvetted AI tools create invisible data leakage vectors.
Raw Input: Sensitive Information here
Sanitized: Sanitized [PII_1] here
Secure Support AI Workflow
Enable high-performance AI without client data leaving your machine
Import Files
Upload documents locally into the PrivacyScrubber sandbox.
Local Masking
Identify and tokenize sensitive strings entirely within browser memory.
Analyze with AI
Submit sanitized prompts to ChatGPT or Claude for processing.
Reverse Scrub
Bring back original data into the AI response locally for the final draft.
Hardened Audit Standards
Satisfying strict global security frameworks for Support data.
Article 25
Privacy by design and by default.
Confid.
No data persistence on unauthorized infrastructure.
Data Priv.
State-level compliance for consumer masking.
A.8.11
Data masking standards for secure processing.
Implementation Guides
Explore specific PII redaction workflows for Support Teams
Chat Log Safety
Remove customer names and account numbers from chat logs before AI summarization or training.
Support Ticket Anonymizer for AI Routing
Strip PII from Zendesk or Freshdesk tickets before using AI for auto-categorization or QA.
Zero-Trust AI Helpdesk
Use AI to draft support responses without exposing customer account details to external servers.
Customer Email PII Protector for AI Response Drafting
Protect customer names and account info from email threads before using AI to draft replies.
Zendesk Ticket Protection for Safe AI Automation
Strip customer PII from Zendesk tickets before routing them through AI agents or LLMs.
Secure Customer Support AI Workflows
Zendesk/Intercom agents natively drafting replies inside ChatGPT often accidentally paste the customer real name and phone number.
Customer Support PII Protection for Zendesk & Intercom
Ticket protection made safe. Remove PII from customer support logs before AI routing and summarization.
Deploy Secure Support AI Today
Satisfy compliance requirements, eliminate disclosure risks, and innovate at the speed of AI.