The beginnings of modern AI can be traced to classical philosophers’ attempts to describe human thinking as a symbolic system. But the field of AI wasn’t formally founded until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term “artificial intelligence” was coined.

Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some of them and not others. If doing a task requires only mechanisms that are well understood today, computer programs can give very impressive performances on these tasks. Such programs should be considered “somewhat intelligent”. It is related to the similar task of using computers to understand human intelligence. A new industrial revolution is taking place now and AI (AI) is transforming countries economically. The answer to the question of who is ahead and who is behind is determined by the new economic model based on the AI.


Artificial intelligence (AI) is defined as intelligence exhibited by an artificial entity. Such a system is generally assumed to be a computer.

Although AI has a strong science fiction connotation, it forms a vital branch of computer science, dealing with intelligent behavior, learning and adaptation in machines. Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior. Examples include control, planning and scheduling, the ability to answer diagnostic and consumer questions, handwriting, speech, and facial recognition. As such, it has become a scientific discipline, focused on providing solutions to real life problems. AI systems are now in routine use in economics, medicine, engineering and the military, as well as being built into many common home computer software applications, traditional strategy games like computer chess and other video games.


 AI security involves leveraging AI to identify and stop cyber threats with less human intervention than is typically expected or needed with traditional security approaches.AI security tools are often used to identify “good” versus “bad” by comparing the behaviors of entities across an environment to those in a similar environment. This process enables the system to automatically learn about and flag changes. Often called unsupervised learning or “pattern of life” learning, this method results in large numbers of false positives and negatives. More advanced applications of AI security can go beyond simply identifying good or bad behavior by analyzing vast amounts of information and helping to piece together related activity that could indicate suspicious behavior. In this way, AI security behaves in a manner that’s similar to the best and most capable human cyber analyst.


  • AI security augments the shrinking cyber workforce.
  • AI security helps save time hunting for threats.
  • AI security helps in home automation and its security systems.
  • AI security helps in war zone areas.
  • AI security is the beginning of new era in advanced security.


With advancements in research on Artificial Intelligence (AI) due to availability of
cheaper computing and storage power from cloud providers, it is increasingly
playing an important role in Cyber Security. The next generation of cybersecurity
products are actively incorporating Artificial Intelligence (AI) and Machine Learning (ML)
technologies. By training AI software on large datasets of cybersecurity, network, and
even physical information this plays a vital role in the advancement in technology.