Man and Machine: A Match Made in Cybersecurity Heaven

We’re all familiar with the story – sophisticated cyber-attacks are increasing in number and complexity, adding to the workload of already beleaguered security professionals, and helping fuel a surge in cybersecurity job postings. But these positions are incredibly tough to fill because of the insufficient supply of experienced professionals and lack of new talent. In fact, a Stanford University study shows the cybersecurity skilled personnel gap stands at 200,000 unfilled jobs. Between the challenge of choosing the right tool amongst a myriad and the challenge of finding skilled security personnel, you have to wonder: how can companies defend themselves in this increasingly complex threat landscape? Machine learning is an excellent place from which to start. I’m not suggesting that security analysts should be replaced by automated systems, rather, they should complement…


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