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General

AI Sandboxing and Isolation

When an AI system can run code, browse the web, or access enterprise tools, isolation becomes critical. Sandboxing limits what the agent can touch so a mistake or attack does not become a broader security incident.

What Sandboxing Protects

  • Local files and secrets
  • Internal systems and production databases
  • Sensitive user data
  • Browser sessions and authenticated accounts

Common Isolation Patterns

Teams use containers, virtual machines, scoped API tokens, restricted network access, and ephemeral environments. The goal is to grant only the minimum permissions needed for the task.

Why It Matters

Agent capabilities are growing faster than confidence in perfect control. Sandboxing accepts that failures will happen and reduces the blast radius when they do.