Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Claude Code's permission modes decide when it asks, and sandboxing decides what commands can touch. Here is how to combine them for a security-minded team.
Splitting a cloud agent's run into setup and work lets you allow installs early and narrow the network later. How the split works and what it leaves open.
A one page policy outline for scheduled AI tasks: scope, ownership, access, approvals, expiry, logging and exceptions, in plain language you can adapt.
An egress allowlist narrows where an agent can send data, but leaves gaps: allowed hosts, processes outside the firewall, and the model connection.
Codex cloud tasks run from environments with configurable network access, network secrets, and install scripts. How each setting shapes risk for your code.
A cloud coding agent should push to one branch, never merge, and never reach other repositories. How to set that up, and what branch protection must do.
Choose a local or remote sandbox for an AI agent by weighing data location, secrets, network reach, cost and control. A simple decision guide with a table.
Read-only, workspace-write or full access? How each level behaves for unattended tasks, what fails, and a rule for choosing the narrowest one.
Whether a scheduled AI task runs with your laptop asleep depends on where it executes. Here is how to tell local from cloud schedules and what to ask.
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