In-Process PII Scrubbing Tool 'The Cleaner' Aims to Stop LLM Data Leaks

Developers building AI agents risk exposing sensitive user data — such as credit card numbers, IBANs, and personal emails — by passing raw database records directly into large language model contexts. Once that data leaves the server, it can end up in third-party provider logs, inference caches, or even be echoed back in public-facing chat responses. A proposed solution called 'The Cleaner', part of the avantGate security framework, runs in-process to mask PII before any payload crosses the network boundary to an external LLM. It operates on a zero-trust principle, intercepting inputs at ingress and enforcing a dual-channel tool boundary that sends restricted data to the model while routing full payloads directly to the client. The approach is designed to help teams meet compliance requirements under GDPR, HIPAA, and PCI-DSS without adding significant network latency.