How to connect all the dots in a complex threat landscape Developers are showing more interest in using Machine Learning (ML) to automate threat-hunting. As the volume of  cyberattacks  grows,  security analysts  have become overwhelmed. To address this issue, developers are showing more interest in using  Machine Learning  (ML) to  automate  threat-hunting . In fact, researchers have tried to implement ML in  cybersecurity solutions  since the late 1980s, but progress has been slow. Today, ML is showing increasing promise with the advent of Big Data because the quality of information from which ML can learn is improving. However, there is much more to be done. Anomaly Detection – The Early Days When we talk about  security , we want a system that can separate good from bad, normal from abnormal. Therefore, it is quite natural to apply anomaly detection to security. We can trace the beginning of anomaly detection back to 1987...