*4.2.4 Secure authentication*

Security provisioning or authentication has become a key issue in wireless networks due to their vital roles in supporting numerous services. The Physically recognizable proof in which AI used to explore the various security elements to distinguish a user could be the primary way to security verification. A smartphone can utilize the scanner for unique fingerprint and facial expression to permit for a secure login of a user. The smartphone application examines the fingerprint and facial expression to identify if the login is true. Also, AI technique can investigate the different features to verify the user authentication and allow the user to access information from any device.

#### *4.2.5 Behavioral analytics*

One of the important uses of AI in cybersecurity originates from its ability to analyze behavior. This means the machine learning calculations can learn and make an example of your conduct by breaking down how you utilize your gadget and online stages. The use of AI in healthcare like DNA/genome research is truly captivating to read. People are involved in the behavior part of cybersecurity. Also, machine behavior plays a significant role in cyber events. AI is changing our lifestyle, including the way we live, work, and play. With more and more healthcare data being collected from multisensory system and medical instruments and being processed, predict and behavioral analytics allow to generate insight and take a necessary action.

In conclusion, AI techniques have experienced quick change and progress from being inconsequential specialized. This will help cybersecurity specialists in managing moves identified with the discovery and avoidance of cyberattacks. AI can help to detect cybersecurity dangers and advise the specialists to take proper actions. The job of AI is expanding different parts of data innovation like AI in Cybersecurity, Software Testing, and Data Security.
