In the world of Gen AI and the Model Context Protocol (MCP), "Context" is King — but it’s also a liability. To debug complex agents, we log everything: prompts, tool outputs, and reasoning steps. The problem? That data is often radioactive with PII, API keys, and customer secrets.

In this session, we will explore the hidden compliance nightmare of AI observability. We’ll move beyond fragile Regex filters and demonstrate the architectural pattern of "AI-Empowered Sanitization". We will discuss how to use intelligent detection layers to identify sensitive entities in flight and redact them before they hit your logs. You’ll leave with a blueprint for a "Zero-Trust Logging" pipeline that keeps your debug streams useful but compliant.