Thanks to technologies that generate, store and analyze huge sets of data, companies are able to perform tasks that previously were impossible. But the added benefit does come with its own setbacks, specifically from a security standpoint.
With reams of data being generated and transferred over networks, cybersecurity experts will have a hard time monitoring everything that gets exchanged — potential threats can easily go unnoticed. Hiring more security experts would offer a temporary reprieve, but the cybersecurity industry is already dealing with a widening talent gap, and organizations and firms are hard-pressed to fill vacant security posts.
The solution might lie in machine learning, the phenomenon that is transforming an increasing number of industries and has become the buzzword in Silicon Valley. But whilemore and more jobs are being forfeited to robots and artificial intelligence, is it conceivable to convey to machines a responsibility as complicated as cybersecurity? The topic is being hotly debated by security professionals, with strong arguments on both ends of the spectrum. In the meantime, tech firms and security vendors are looking for ways to add this hot technology to their cybersecurity arsenal. For the full article click here
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