Part 1: Securing Workflows with MCP and Public LLM

In this video, we explore the AI security challenges that traditional DLP and CASB solutions struggle to address in today’s AI-driven environments. As organizations adopt AI-powered applications, protecting sensitive data during AI interactions becomes critical to preventing unintended exposure.

I demonstrate an end-to-end MCP workflow, walking through the complete lifecycle—from pulling raw data from Box, to redacting sensitive information, and finally committing sanitized data to Git.

Part 2: https://youtu.be/t6bi_hvY9_A
Part 3: https://youtu.be/WU6jTCcQV8c

#zscaler #cybersecurity #llm #ai #dataprotection #cloudsecurity

Видео Part 1: Securing Workflows with MCP and Public LLM канала Syed Ashraf