Security Analytics is a paradigm shift in traditional investigation and threat detection methods. It uses advanced big data analytics to empower governments and enterprises with qualitatively improved levels of insight and response. This change in the security domain is a refection of the global trend of enterprises leveraging advanced data analytics to gain actionable insights. In the security domain, however, the cost of slow or failed investigations may be loss of human lives, disrupted essential services, and economic catastrophe. Security analytics empowers governments and enterprises with actionable intelligence so that we can all live in a safer world. Security Analytics is relevant to all government and enterprise security teams and organizations and is leveraged by a wide range of users, from high level decision-makers to team leaders and hands-on operations personnel. Security analytics implements robust data collection and fusion, fexible analytics, investigation and case management workfows, and visualization / search / analytical tools to: POLICE NATIONAL SECURITY ARMED FORCES BORDER CONTROL CRITICAL INFRASTRUCTURE Security Analytics boosts the performance of each of the various security domains: cyber intelligence, web intelligence, network intelligence, situational intelligence, and tactical intelligence. More importantly, however, Security Analytics breaks down silos and aggregates diverse data sources and types so that AI-based analytics can detect anomalies, correlate events, predict behavior, and establish patterns and relationships. Reduce the time to investigate and resolve incidents while increasing the chance of catching perpetrators Deliver real- time insights for successful completion of day- to-day tasks Facilitate early detection of physical or cyber security threats while increasing the chance of proactively preventing an attack ABSTRACT