AI Agent Sandboxes: A Guide to Isolation and Secure Execution

This article discusses how AI agent sandboxes function by placing boundaries around their decisions. These boundaries focus on how agents interact with external systems, reducing potential risks. Careful isolation is required to ensure agents do not take unauthorized actions or access sensitive information. These sandboxes are essential because agents can make decisions based on the information they encounter, making their behavior difficult to predict. Constraints must cover multiple aspects, including the execution environment, tool usage, and data access. This complexity necessitates effective isolation that goes beyond traditional infrastructure.