The Egress Security Your Environment Needs For Safe Agent Conduct
This follows an earlier piece I wrote on how AI agents slip past existing controls[i]. That article asked whether your network and resources can even tell an agent apart from a human or a service, and what controls they need against an agent's non-deterministic actions. Nearly every question I got back landed on two things: how does an agent make data exfiltration risk worse, and what does an optimal egress control look like. So, this piece focuses solely on egress.
An AI agent is an outbound machine. It takes a task, reasons about it, then reaches out: to a model API, a vector store, a SaaS tool, a Model Context Protocol server, another team's agent, often an endpoint on the public internet. One request can fan out into dozens of calls the agent chose on its own, based on text it was reasoning over. Your network was not built...
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