Neural fuzzing can help uncover bugs in software better than traditional tools, company says.
Microsoft has developed a new technique to test software for security flaws that uses deep neural networks and machine learning techniques to improve upon current testing approaches.
Early experiments with the new “neural fuzzing” method show that it can help organizations uncover bugs in software better than traditional fuzzing tests, according to Microsoft.

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