LAB 370 – Defending Python AI Applications from Improper Output Handling (NEW)

Course Overview

When LLM outputs are passed directly to other systems without validation, they can cause security breaches. This lab helps learners design robust output-handling routines that sanitize and verify content before execution or transmission.

After completing this lab, learners will have the knowledge and skill to:

• Identify insecure output flows between LLMs and downstream systems
• Validate and sanitize LLM-generated content
• Apply formatting constraints and content filtering
• Prevent command injection and unauthorized actions