The connected world creates a rate and volume of streaming cybersecurity data that is unprecedented, and attacks are increasingly sophisticated and multifaceted. Existing security tools typically provide one facet of cybersecurity info, but not even one was created for the big data generated by the digital world and it is unreasonably time-consuming to piece together data from multiple systems to assess the true nature of a single threat across an enterprise. A data-driven artificial intelligence approach enables information security teams to embark a cybersecurity journey to leverage big data to improved economics and improved threat detection. The key point is to create a single holistic view of enterprise risk that encompasses an expansive and contextual view of enterprise data to enable machine learning, real-time streaming analytics for accelerated threat detection and improved SOC efficiency. Rather than relying solely on internal IT staff, CISOs can use AI to process millions of events per second, a feat that would otherwise be impossible. But human expertise is still required: the goal should be to draw on the best of AI, take a consolidated view that bring people and tool together. At a time when the fear surrounding cybersecurity and automation is at an all-time high, take a deep breath and aim for a progressive approach to data-driven artificial intelligence approach, where the right technologies are applied at the right level.