Progress is being made by the U.S. federal government in various areas of progressive approaches for cybersecurity. Many agencies have executed new technologies and new procedures directed towards evolving security threats. A few of the emerging approaches and technology have been talked about and implemented in the federal market such as the real-time assessment tool integration, behavioural analytics, machine learning, predictive analytics, and zero-trust model.
The real-time assessment tool integration helps to assess cyber activities which are interdependent cyber activities, systems, and services along with data sets such as analytics to present a tenacious depiction of events such as a cybercrime. Behavioural analytics is used to locate patterns on system activity and network to identify actual or potential cybersecurity threats. Machine learning uses algorithms to let a computer system to give an analysis based on data evaluated such as real-time communications, logs and transactions. Predictive analytics aims on the proactive identification of trends through a research of various data sets in cybersecurity such as network devices, storage devices, applications, and server logs.