security

Understand what makes an AI code execution sandbox secure: isolation models, egress controls, secrets handling, and the right questions to ask any provider.

AI agent sandbox FAQ covering isolation, egress, file access, state, secrets, audit logs, compliance, pricing, and safe code execution.

A security evaluation guide covering which events AI agent sandbox audit logs must capture, retention policies, log integrity, and how to surface logs for incident response.

A practical security guide for teams enabling AI agents to install packages in sandboxes: allowlists, version pinning, registry mirrors, egress controls, and audit logging.

Evaluate Firecracker microVMs for AI agent sandboxes, including isolation, lifecycle overhead, egress, packages, secrets, and audit controls.

Run Claude Code-style or managed coding agents in isolated workspaces with scoped files, shell policy, network controls, logs, and review.

Learn how to design a coding agent sandbox for repo checkout, commands, tests, diffs, secrets, logs, artifacts, cleanup, and human review.