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IDG Contributor Network: Cyberattack prediction to improve drastically

Discussion in 'Network World' started by RSS, Apr 25, 2016.

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    RSS New Member Member

    False positives are a scourge in cyberattack detection partly because of the way machine learning detects attacks. It’s done through what’s called anomaly detection where the artificial intelligence (AI) searches for code that isn’t as expected.

    That “tends to trigger false positives,” says MIT News, writing about a new AI platform that its scientists say will alleviate the trip-ups.

    The way they want to do it is to simply add humans to the mix. “Distrust of the system” means results have “to be investigated by humans, anyway,” MIT News says.

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