Anomaly detection, the “identification of rare occurrences, items, or events of concern due to their differing characteristics from the majority of the processed data,” allows organizations to track “security errors, structural defects and even bank fraud,” according to DeepAI and described in three main forms of anomaly detection as: unsupervised, supervised and semi-supervised. Security Operations Center (SOC) analysts use each of these approaches to varying degrees of effectiveness in Cybersecurity applications.
2020 will be remembered most as the year the world was swept up in the COVID pandemic. Dig a little deeper and you’ll find another alarming news story: 2020 was a record breaking year on the Cybersecurity front. There was more data lost in breaches and a higher number of cyber attacks than ever before.