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OpenShell details formal-methods approach to auditing AI agent permission changes

OpenShell published research on using formal methods, including the Z3 solver, to verify that permission changes proposed by autonomous AI agents remain within the bounds originally approved by a human operator. The team argues that as organizations scale from a handful of coding agents to hundreds or thousands running long, open-ended tasks, manual permission review becomes impossible to sustain. Their approach aims to mathematically prove that scoped agent policies never exceed the intent of the overall system's charter.