Using Machine Learning to Transform Data into Cyber Threat Intelligence

Whether we realize it or not, our digital lives and what we see on the internet are controlled and determined by algorithms and analytics. Through them, businesses learn what our preferences are and what we're drawn to in order to target us with information. The idea is to present us with information that is most relevant to us. In the same way, cybersecurity professionals are constantly faced with an enormous amount of threat data to sift through and prioritize on a daily basis. In fact, "too much data to analyze" is the number one obstacle inhibiting companies from defending against cyber threats according to the 2019 Cyberthreat Defense Report by CyberEdge.