Why Invest In Cloud-Based Machine Learning For Cybersecurity?

At a recent panel on using marketing data to grow your business, Visier CMO Christy Marble noted that every piece of technology we use today should incorporate some degree of machine learning (ML). In enterprise cybersecurity, given the well-documented concerns around skills shortages and tool sprawl, it certainly seems wise to take advantage of any technology that can increase efficiency, make individual employees more effective, and ultimately scale the business. The cloud may be the factor that finally takes ML from being an overhyped pipe dream of a technology to an integral part of every successful security practice. Not all ML is created equal, however, and now that this tech has entered the realm of table stakes, it's time to raise our collective standards and understand exactly what differentiates genuinely powerful, effective ML from systems that are capitalizing on the hype to sell subpar products to under-informed customers. Machine learning systems need a whole lot of data in order to actually work.