Cloudflare Launches Outbound Workers to Secure AI Agent Network Access

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Cloudflare introduced Outbound Workers for Sandboxes, a programmable proxy that lets developers inject credentials and enforce security policies at the network level. This allows AI agents to interact with sensitive services without ever having direct access to the raw authentication tokens.

Cloudflare, a network and security company offering edge computing services, launched Outbound Workers for Sandboxes to act as a programmable egress proxy (a gateway for outgoing traffic) for AI agents. This tool intercepts every network request an agent makes from its isolated environment. Developers can now use JavaScript to modify headers or block domains.

Traditional agent security relies on environment variables, which are vulnerable if an agent is compromised. By moving authentication to the network layer, developers can implement a zero-trust architecture where the agent performs actions but never sees the underlying credentials. This shift addresses security gaps preventing agents from handling sensitive data.

Use outboundByHost to inject credentials or setOutboundHandler to dynamically lock down network access after an agent finishes tasks. The feature is available by upgrading to @cloudflare/sandbox@0.8.9. Outbound Workers run on the same machine as the sandbox to ensure minimal latency and include built-in observability.

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How do you give an AI agent a GitHub token without the agent actually seeing the token? 🔐 We’re launching outbound Workers for Sandboxes. Programmatically inject credentials, log egress, and enforce zero-trust policies at the network level—all transparently. #AgentsWeek https://t.co/aEKBfXsRLF

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