Today, end users are major drivers for transforming the way IT works—from computing to cybersecurity. The point to be noted here is that the change has provided a large surface for the hackers to break into the personal and professional systems. To continue being in the modern, hyperconnected world without the fear of the malicious actors, organizations should take a new approach to secure the endpoints by bringing in the benefits of artificial intelligence (AI) and machine learning.
Most of the hackers are utilizing machine as weapons to attacks business while organizations still rely on some form of human touch to secure themselves. Although the human element has a major role to play here, it’s time that deals with security in terms of machine versus machine. Security leaders can leverage AI as an augmented intelligence, where machines are working with humans. Machine learning can be the key to shield data in today’s IT world by handling the complicated algorithms necessary to protect data. While AI will protect the data and prevent the intrusions by other machines, security officers can be the second line of defense to verify situations and plan actions to defend.
Another viewpoint to look at security from machine versus machine perspective is that a tremendous amount of data resides within countless endpoints being used today. Organizations struggle to protect devices, which are owned by the employee and connected to the enterprise networks. Machine learning can empower security team to protect these endpoints
