How Machine Learning-Based Security Sees Risk Faster than Legacy Tools

This opinion piece by eWeek’s Zeus Kerravala discusses UF startup Red Lambda’s MetaGrid, which works in what was described as “stream time,” in which the telemetry data is constantly being analyzed, enabling risks to be found based on behaviors.

Machine learning (ML) and artificial intelligence (AI) are in the process of changing almost every aspect of our lives. My last post focused on how AI can be used to help businesses manage their IT environments better. This post will look at the impact ML has on security.

The biggest challenge with cybersecurity is that it’s hard and getting more difficult. Despite spending billions of dollars on security tools to help fight the bad guys, businesses are actually falling behind. A recent study from the Ponemon research group found that the mean time to identify a breach was 197 days and another 69 days to contain the breach.

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