It's hard to remember a time when cyber-based security threats were so few and far between that they could be easily identified and countered by well-trained IT security experts. Today, the volume and diversity of potential threats long ago outstripped the ability of human professionals to evaluate them unaided. Today, security pros rely heavily on a multiplicity of highly automated threat intelligence feeds and analytical systems. Still, even sophisticated security incident and event management (SIEM) solutions can struggle to separate actual cyber threats from the millions – if not billions – of potentially relevant IT and networking events that even moderate-sized organizations log each day. To increase their odds of success, SIEM systems and other security monitoring and analytics tools are increasingly turning to a variety of artificial intelligence (AI) technologies.