There has been growing interest in implementing a proactive line of defense by understanding the attackers’ intentions and capabilities and dynamically enforcing security perimeters through threat-impact-analysis based upon real-time cyber threat intelligence sharing (CTI). There are several community-driven efforts towards developing standardized languages to define cyber threats and document their instances reported at collaborating nodes. On-line threat repositories contain a wealth of attack information with public sources such as Hail-a-TAXII containing more than 1M threat indicators. However effectively utilizing these to make cyber defense decisions is tedious because of the sheer volume, diversity and textual nature of the data. In this talk we will examine some of the challenges to sharing, in light of the current CTI languages, repositories and frameworks in place. Furthermore the talk will discuss recent technological advances that allow machines to potentially perform analytics of CTI data, for its more effective utilization in sense-making and cyber defense decision-making in an organization.