Natural Language Processing for the Security Analyst

Data science is an emerging multidisciplinary field that offers multiple benefits to information security. Within this field, there is an inherent ability to do anomaly detection at scale. Recently there are increased efforts in applied data sciences in the field of information security and assurance, however there can be a high barrier to entry due to the mathematics required. Nonetheless, topics such as natural language processing can be and have been integrated into security toolsets successfully. These computational linguistic methods can effectively be used to empower analysis techniques. This paper examines the viability of applying these language techniques in security anomaly detection and the ability to integrate with existing security tools.