AI Signal 396
Brex assumes its AI agents could do anything — so it watches the network, not the code
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Brex CEO Pedro Franceschi outlined an approach to securing AI agents in production that monitors network activity rather than agent code, based on the assumption that agents could take any action.
For engineers deploying AI agents, this suggests a shift from traditional application security models that focus on code behavior and permissions. If agents behave unpredictably, network-level monitoring may be more practical than trying to constrain individual actions at the code level.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Brex assumes AI agents could potentially take any action, requiring a different security model than traditional software.
The proposed approach monitors network activity rather than agent code or behavior directly.
OpenClaw is referenced as an example of an open-source AI agent being deployed in enterprise environments.
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