Zero-Trust Sanitization
for InfoSec & CISOs.
Enforce verifiable data boundaries for Shadow AI. Ensure developers and ops teams never leak sensitive system data or PII to third-party LLMs.
Industry Privacy Blind Spots
Shadow AI Exfiltration
Employees copy-pasting customer data into unapproved ChatGPT endpoints bypassing traditional corporate DLP perimeters.
SOC Log Scrubbing Failures
Sending raw security event logs to AI for threat analysis leaks internal IP ranges and employee usernames.
RAG Prompt Injection
Malicious inputs extracting sensitive data from internal vector databases because the source data wasn't masked before ingestion.
Input: Document concerning John Doe (A-123)
Input: Target concerning [NAME_1] ([ID_1])
Secure Processing Workflow
Offline data protection for compliance teams
Import Data
Bring documents into the secure local browser environment.
Local Masking
Redact PII locally, replacing identities with semantic tokens.
Secure LLM Call
Send only sanitized data to external models like ChatGPT or Claude.
Reverse Scrub
Restore original values into the AI response locally before delivery.
Regulatory Trust Framework
Compliant
A.8.11 Data Masking controls
Compliant
Third-party vendor risk mitigation
Satisfied
Protect data-in-use at the edge
Satisfied
Privacy by Design implementation
SECURITY Deep-Dive
Why is local browser sanitization safer than API-based DLP?
Can I verify the zero-server claim?
How does this fit into our SOC 2 compliance?
Deploy Secure AI Sanitization Today
Stop PII leakage at the edge. Secure your workflows locally.
GET STARTED — $9.99 ONE-TIME