Experiment targets AppArmor and snap-confine with University of Bristol researchers.
Canonical is running an experiment to translate legacy C code into Rust using AI. The work targets the security tools AppArmor and snap-confine. Partners at the University of Bristol will check if the resulting code keeps the same behavior as the original. Observers note that the AI-generated Rust compiles without issues. This raises interest in whether automated conversion can produce safer implementations of critical components while avoiding any functional differences. The test aims to confirm that no behavioral changes occur during the translation process.
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Experiment targets AppArmor and snap-confine with University of Bristol researchers.
Canonical is running an experiment to translate legacy C code into Rust using AI. The work targets the security tools AppArmor and snap-confine. Partners at the University of Bristol will check if the resulting code keeps the same behavior as the original. Observers note that the AI-generated Rust compiles without issues. This raises interest in whether automated conversion can produce safer implementations of critical components while avoiding any functional differences. The test aims to confirm that no behavioral changes occur during the translation process.
The New Stack@thenewstackWhat happens when AI rewrites legacy C into Rust? @AmandaCaswell looks at Canonical’s experiment to see whether automated translation can deliver safer code without introducing behavioral changes.
The New Stack@thenewstackWhat happens when AI rewrites legacy C into Rust? @AmandaCaswell looks at Canonical’s experiment to see whether automated translation can deliver safer code without introducing behavioral changes.
