Blog

A clear explanation of data residency for AI applications: which data and control paths it covers, and how it differs from region selection, data protection, and sovereignty.

Understand what AI agent security covers, how trust boundaries shape risk, and why isolation, egress, credentials, and host integrations need separate controls.

Run OpenCode in a Docker Sandbox clone, then verify workspace isolation, egress policy, credential handling, and host integrations separately.

Understand Claude Security’s code-scanning scope, its findings and patch proposals, and the runtime controls that remain separate.

Understand what Codex Security does, how its repository-focused AppSec workflow works, and why it is different from the Codex sandbox.

Understand what background coding agents are, where they can run, and how to distinguish isolation, egress, credential, and host-access boundaries.

Learn how an AI agent runtime and an agent sandbox divide orchestration, state, execution, isolation, network access, credentials, and host integrations.

Learn where a cloud development environment ends and what an unattended coding-agent runtime must define separately.

Seven checks for evaluating an AI coding agent sandbox: isolation, egress, secrets, control-plane access, persistence, tenancy and data location.

Learn how to configure the Claude Code sandbox, restrict files, network access and credentials, and isolate unattended agents securely.