How does Artificial Intelligence (AI) and Machine Learning impact Cyber Security?

Bernice Kow November 4, 20193 mins read

One of the most striking and significant advances in the world of AI is the widespread implementation of machine learning processes.

It is fast becoming a very relevant component in the daily grind of many businesses. Of course, this includes the growing Cyber Security space. This industry is in fact, progressively becoming a prominent factor in our technology arsenal to defend, distinguish and digitalise incident response.

The concept of AI has been kicking around for quite awhile, and some of the earliest AI algorithms were only able to perform tasks based on what they were built to do. With machine learning, things got a lot more exciting. AI algorithms that work with machine learning aren’t just programmed to perform a task based on their original designation. They are created to continually acquire new information, and learn from data and experience. 

Even the Cyber Security industry has been affected by the advent of new machine learning technologies. These tools can help us protect our information from cyber attacks in many ways. For example, smart machine learning software can be useful to screen dangerous email attachments or malware. They are becoming increasingly good at it, as they continuously scan more emails and refine their experience. The possibilities are endless, and many industry insiders think that we are only at the doorstep of what will be a revolutionary new era. AI has the potential to improve human life vastly, and it’s truly an exciting time to be alive!

While machine learning is able to easily identify trends and patterns that are not striking to the human eye, it is still highly vulnerable to errors - you may end up with a set of biased predictions that may trigger a chain of errors that can go undetected for a long period of time. And when these errors are noticed, it will take copious amounts of time to find the source of the problem, and an even longer time to rectify it. 

Some of the current challenges of using AI/ Machine Learning for Cyber Security purposes are: 

  • Establishing what normal activity entails - Can these algorithms learn what is normal, and what is suspicious? 
  • Are they able to do so fast enough so that they can avoid any issues?
  • False positives are fairly common in the industry today, and they can be quite costly and confusing. 
  • At the end of the day, Cyber Security machine learning algorithms are on the right path, but there is a long way ahead before they can become failsafe go-to solutions without a notable quota of errors.

That said, due to the fast adapting approach to these enhancements, a lot of companies are looking to hire Automation Developers to enrich the efficiency of security operations, and Cyber Security companies are investing big money to build their Cyber R&D lab here.

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I specialise in recruitment within the Cyber Security space, and would love to have a discussion with you if you’re keen to be part of the growing success in Machine Learning and AI within the Cyber Security space!

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Bernice Kow - R1658283's picture
Consultant
bkow@morganmckinley.com.sg

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