Unblock Enterprise AI Adoption with a Zero-Trust PII ProxyLive
The biggest bottleneck to enterprise AI adoption isn't model capability; it's InfoSec. Legal and security teams routinely block the internal rollout of AI tools because they are terrified employees will accidentally paste sensitive customer data, API keys, or PHI/PII into a public LLM.
I built the Zero-Trust PII Proxy Agent to bridge the gap between rapid generative AI innovation and strict corporate compliance.
How it works:
• Real-Time Interception: A stateless middleware layer intercepts the user's prompt before it ever leaves the enterprise boundary.
• In-Memory Sanitization: A lightweight, localized agent identifies and masks sensitive entities (names, emails, credit cards) with anonymized tokens (e.g., [USER_1]).
• Seamless Re-Injection: The sanitized prompt is processed by the heavy cloud LLM. When the response returns, the proxy instantly maps the tokens back to the original data before displaying it to the user.
This "glass box" architecture neutralizes data exfiltration risks, allowing product teams to ship powerful AI features without failing their SOC2 or GDPR compliance audits.
I built the Zero-Trust PII Proxy Agent to bridge the gap between rapid generative AI innovation and strict corporate compliance.
How it works:
• Real-Time Interception: A stateless middleware layer intercepts the user's prompt before it ever leaves the enterprise boundary.
• In-Memory Sanitization: A lightweight, localized agent identifies and masks sensitive entities (names, emails, credit cards) with anonymized tokens (e.g., [USER_1]).
• Seamless Re-Injection: The sanitized prompt is processed by the heavy cloud LLM. When the response returns, the proxy instantly maps the tokens back to the original data before displaying it to the user.
This "glass box" architecture neutralizes data exfiltration risks, allowing product teams to ship powerful AI features without failing their SOC2 or GDPR compliance audits.