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Do not ask whether the agent follows the rule. Ask what stops it when it does no

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alphasignal.ai
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AlphaSignalAI
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Context

An 's access limits can be enforced by the software around it. That is the central argument in AlphaSignal's security analysis: instead of asking whether an agent follows a rule, ask what stops it when it does not.

NVIDIA's OpenShell documentation supplies a concrete example. A policy sets which paths processes can read or write, and network rules list the destinations and programs allowed to reach them. The network proxy can permit reading from an API while blocking writes, and OpenShell denies every outbound connection unless a rule allows it. These controls constrain what a running agent can do even when it proposes an unwanted action. Policy documentation

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • sandbox — An isolated environment where AI-generated code or agent actions run without being able to touch anything real.
  • guardrails — The checks around a model that block bad inputs and outputs — filters, validators, and permission rules the model itself can't override.
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