Cyber-threats have are making a bigger influence on our daily life. They are responsible for data breaches in big tech information companies, ransomware and spyware attacks on organizations and home users, and data-stealing. With everything evolving, securing privacy data has become a humongous task. The existing techniques are also evolving, giving rise to new techniques, and now there are as many security tools like firewalls to fight against cyber-threats. But these tools are not enough to prevent such dynamic and determined threats, and this is where the Artificial Intelligence (AI) comes into play. AI reads the hacking or malware attack pattern and identifies its symptoms, similar to the human brain activity. By gathering information from previous experiences, the AI detects the threat and defeats it even before an attempt to breach the device security is made. Machine Learning, a subset of AI, is a set of sophisticated programs that imitates the human analysis and learning process to prevent threats. The use of AI reduces data loss and saves a lot of time. It can provide the necessary action and detect threats in less possible time. As hackers try to lurk into the system, the AI identifies the hackers' methods and processes. When the AI system becomes fully efficient to automate the security action, the security equipment's cost also reduces. Many private companies and tech firms are using AI, such as the Chatbots, facial recognition system, and similar suggestions on a certain webpage. Now, the hackers have started to use the AI for tracking and studying the patterns. With this pace, a team of humans handling IT outsourcing is definitely not enough to prevent complex threats. The combination of AI and human intelligence is required to make an improved security system.