There is no way businesses can be conducted without networks today. Countries that have isolated themselves from internet connectivity have been left behind financially, since a big part of the global economy is currently powered by the internet. North Korea is an example of one country where the internet is highly restricted and only accessed by a few people. However, having connectivity to networks comes with its own cons. Individual and corporate networks have been subjected to unauthorized access, malware, and denial of service from cyber criminals. There are some techniques that can be used to perform actions on networks that can hardly be detected by network admins without the use of tools such as intrusion-detection systems. Other cyber attacks include sniffing packets, theft, and manipulating data during transit. The tools that are being used to protect against network security threats have become overwhelmed with the amounts of traffic that they have to filter. They have also been facing challenges due to the number of false positives that are getting reported. Because of this, security companies are turning to new technologies, such as machine learning, to enable them to detect malicious and abnormal traffic in a more efficient and effective manner.