A secure sandbox is a restricted execution space where untrusted code, files, models, or agents can run with tightly limited permissions. The sandbox usually blocks or filters access to the file system, network, system tools, secrets, and other sensitive resources. In enterprise AI platforms, it can also constrain what an agent may read, generate, or trigger.
Secure sandboxes matter because they reduce the blast radius of mistakes and malicious behavior. Defenders use them to inspect malware, test suspicious documents, validate scripts, and evaluate AI actions before allowing production access. Attackers often try to break out of a sandbox by exploiting software flaws, abusing misconfigurations, or escalating privileges to reach the host or neighboring workloads. Good sandboxing is therefore a core control for isolation, monitoring, and safer experimentation in private cloud and AI environments.