Who We Are & What We Solve
PrivacyScrubber was founded to address a critical vulnerability in modern enterprise AI adoption: the interface layer. When employees copy and paste sensitive customer data, source code, or financial records into public LLMs like ChatGPT or Claude, standard network-layer DLP (Data Loss Prevention) firewalls often fail to detect the exfiltration. This creates a severe shadow AI compliance gap.
While many security vendors attempt to solve this by routing your prompts through their own cloud servers—asking you to trust their infrastructure—we took a radically different approach. To guarantee compliance with strict regulations like GDPR and CCPA, we realized the data could never leave the endpoint.
We engineered a sanitization engine that requires absolutely zero trust because it has absolutely zero servers.