For quite some time, we really hoped that Artificial Intelligence (AI) could actually create human-like machines. However, this was obviously too much to ask for. Instead, the modern AI focuses on more realistic and practical problems. We can train these highly advanced machines to solve a list of narrowly-focused tasks. So, how do you feel about AI taking care of troubling cybersecurity world with a different kind of approach?
The good old and problematic users
Let’s use the less menacing term here – access management. It is all about how we grant someone access to our system under a different set of conditions and in different situations. Here’s how machine learning can jump to the rescue.
Firstly, people can be painfully unpredictable. They can access different apps at different times and totally different locations. The more choices we have thanks to modern technology options, the more unpredictable we become.
Secondly, the existing access authorization processes can be extremely annoying and time-consuming. We all hate passwords, but we have to use them. Even if you apply new authentication solutions, you can rest assured that attackers will adapt in no time with new creative ways to jeopardize your security. You can always opt for the state-of-the-art biometrics, but we all know that is going to cost you a lot.
So, what can we do about the problem of account hijacking, collecting an extremely valuable “merchandise” on today’s online black market. Hackers are using the new dark web currency called hijacked usernames and passwords. You can forget about encryption if a hacker can see all the data through a stolen account as a plain text. Right?
We need machine learning heroes
Machine learning can easily turn out to be just the thing we need to change the rules of the game. Thanks to machine learning, we get an extra layer of security to our access management and identity system. The great thing about machine learning systems is their ability to learn at an unparalleled rate and speed. For instance, they can learn to identify the usual access patterns associated with individual employees.
When one accesses his account in a usual “normal way,” then security controls are minimal and he is able to do his regular job with no problems. Now, if the same guy is accessing his account from the other side of the globe using a totally different device, then the machines will know what to do.
In addition, machine learning systems can make the invaluable decisions to improve your security in real time. As a result, you can close the time gap between the moment your account is being compromised and the very next moment you realize that something is wrong. So, let’s take an advantage of this new option to improve our cybersecurity. We need all the help we can use. Right?