Your AI agent just sent an email you did not approve.
That is not a hypothetical. That is what happens when an agent has tool access and no runtime controls.
Most people building agents today have guardrails at the model level. Output filters. Prompt restrictions. These handle what the agent says.
But once an agent has tools, the dangerous surface is not its output. It is its actions.
Calling an API. Writing to a database. Triggering a webhook. Interacting with an MCP server. Sending a message. Modifying a file.
These are not content problems. They are authorization problems.
Runtime control means the agent checks policy before it acts. Not after. Not sometimes. Every tool call, every action, every time.
That is the infrastructure gap we are solving at Enforra.
Guardrails at the model layer are necessary. They are not sufficient. Not for agents that do things.
Website: https://www.enforra.com/
GitHup: https://github.com/enforra/enforra
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