Working With Your Data, Safely: Files, Approvals and Memory

Why watch

A practical tutorial on building safe AI agents using .NET and Microsoft Foundry that can securely access files (reading portfolio.csv, writing reports), require human approval for sensitive operations like trades, and maintain durable memory across sessions. Covers configuration of the Agent Harness, approval gates, auto-approval rules, and both file-curated and automatically extracted memory.