The goal of artificial intelligence is to enable the development of computers to do things normally done by people in particular, things associated with people acting intelligently. In the case of cybersecurity, its most practical application has been automating human intensive tasks to keep pace with attackers! Progressive organizations have begun using artificial intelligence in cybersecurity applications to defend against attackers. However, on its own, artificial intelligence is best designed to identify “what is wrong.”
For today’s enterprise, that’s only half the challenge for defending against attackers. What today’s enterprise needs to know is not only “what is wrong” in the face of a breach, but to understand “why it’s wrong” and “how to fix it!” By combining artificial intelligence with machine learning to analyze and interpret actions and behaviors to predict attack patterns and recommend actions to stop threats in motion, technologists have devised a means to generate actionable intelligence. This article will seek to explain how artificial intelligence and machine learning can be used to practical effect in defending the enterprise in real-time.
Machine Learning (ML) and Artificial Intelligence (AI) have been around in one form or another since the latter half of last century, but have picked up significant pace and applicability to change our day to day life in the last few years. The data science which now includes both ML and AI, among other things, has taken off on its own to become a major discipline in the educational world.
Business stakeholders have also recognized the importance of this discipline and have been leveraging contemporary data science methods to mine valuable information, make smarter business decisions and explore new opportunities using existing or newly harvested information.
The internet and mobile revolution of the last few decades have helped generate volumes of valuable information with potential to derive critical behavioral and structural insights from its collection. Naturally, the information gathering was vastly helped by the.. Read More