In recent years secure internet and electronic communications are key drivers to economy and society in general as we can notice an increase in the number of major cyber security incidents due to various factors. Security incidents can affect individual users, organizations, economic operators, governments and society in general. An overwhelming number of incidents are caused by leveraging weak, stolen or default passwords. This paper provides an insight on strong authentication methods such as biometric authentication methods like Keystroke Dynamics or TypingDNA. Implementation of typing biometrics has become increasingly used lately, due to the benefits of user interaction. TypingDNA is a new authentication model by recognizing the user based on a previously written text. In this way, if a password is lost the recovery will be done by recognizing the user based on of text writing mode automatically by the application, the user only having to write a provided text. Therefore, the purpose of this research is to provide stakeholders (software developers and organizations) a comparative analysis of authentication techniques with a high degree of security.