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You can enforce command approval policies for an AI agent by configuring security modes like allowlist or blocklist to control tool access and require explicit approval before executing risky commands. This prevents unintended or malicious actions.

Allowlist mode for agent execution control is a strict security posture that only permits predefined safe commands like `ls` and `cat`. It prevents an agent from accidentally executing malicious actions or deleting critical files.

Yes, you can manage granular tool access policies for AI agents by defining tool profiles that restrict access to specific tools like the file system or network. This ensures robust control over what tools your agent can execute.

You integrate security controls into an agent workflow via CLI and TypeScript API. This allows you to manage command execution approvals, define tool profiles, and enforce security modes directly within your existing development and operational pipelines.

Available security modes for restricting agent commands include deny, allowlist, blocklist, and full. These modes enforce strict security postures to prevent unintended actions and ensure operational security for your AI agents.