Dev.to
7/24/2026

The original title is "AI Agent Egress Proxy: Stop Tool Calls From Leaking Data"
Original: AI Agent Egress Proxy: Stop Tool Calls From Leaking Data
Short summary
AI agents that call APIs, browse pages, or use MCP tools need an egress proxy to inspect, block, gate, and log every outbound request. Prompt guardrails inspect text but cannot stop bytes from leaving—only a network boundary can enforce default-deny policies against data exfiltration, SSRF, and indirect prompt injection. The article provides a concrete policy object schema and practical guidance for building a minimal proxy around any agent runtime with external access.
- •AI agents need egress proxies because prompt safety cannot stop bytes from leaving the network
- •Indirect prompt injection can trick agents into exfiltrating data via tool calls—enforce rules at the network boundary, not in the model
- •Includes a concrete JSON policy object with allowed hosts, blocked networks, body size limits, and approval gates for multi-tenant systems
Generated with AI, which can make mistakes.
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