The Role of AI in Cyber-Security

The Role of AI in Cyber-Security

The issue of cyberattacks continues to be a thorn in the flesh for many users. Even as technology advances to try and make our computers and devices safer, cybercriminals are also advancing and using sophisticated technologies to commit a crime. They do not seem to spare anyone, or any organisations, with some even setting their sights on governments. Recent times have witnessed some of the greatest data breaches, with many more reporting staggering financial losses as a result of cybercrime. While organisations and interested parties are trying hard to come up with ways to fight off such attacks, it becomes harder to predict the behaviour of cybercriminals and how they will strike next. This has led to the emergence of Artificial Intelligence (AI) to predict future threats and how to counter them.

How AI works

The way AI works is by automating how a computer detects and responds to attempted attacks. It does this by analysing data from previous cyber incidents and predicting the future behaviour of cybercriminals. While it is very hard to detect every variation of malware, AI has the ability to defend even against the unknown. By having a database of cybercrime incidents, AI and machine learning have the ability to detect new or tweaked malware by comparing its code with that in its database. Another way that AI is able to enhance the security of users is by monitoring their behaviour on what they do on a daily basis. By analysing this information, AI has the ability to detect any unusual behaviour and react accordingly. For example, AI will be able to detect if you are playing games at recommended sites as shown on and prevent you from visiting suspicious sites.

Why AI is important

By detecting threats immediately and stopping them, AI prevents cybercriminals from affecting the whole network. This means that the malware will not affect other machines on the network, which may disrupt the operations of a business or organisations. AI also eliminates the need to rely on humans to monitor everything at once. Not only would this be impossible, but humans are prone to error, and a single one may be catastrophic. AI thus frees employees to do what they do best rather than spend a lot of time anticipating and detecting threats.

Shortcomings of AI

While there are numerous benefits in applying AI and Machine Learning for cybersecurity, they are not a replacement for observation of safety measures. Some of the shortcomings of AI is that its code may have some loopholes or its algorithm may not be correct. This may allow cybercriminals to have access to networks. This is why it is important to have a dedicated team of security personnel to evaluate how its working and make necessary changes as required. Furthermore, cybercriminals may also use AI to make their attacks more potent, efficient and successful. However, if AI tools continue to evolve and improve, they could be the answer to offering protection from the ever-increasingly sophisticated cyberattacks.



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