According to Hiscox, by April 2019 more than 50% of firms in the UK had reported experiencing a cyberattack, up by 40% from the year before. These figures highlight that it is no longer a matter of if an attack will happen, but when. As such, the need for more efficient and effective cybersecurity measures is growing, and artificial intelligence promises to be a popular solution.

AI can fill the gaps in cybersecurity

Effective cybersecurity requires a lot of monitoring and analysis, but most organisations do not have the resources or time to employee cybersecurity professionals. Cybersecurity can also be repetitive and mundane, and it’s often difficult for humans to even detect and respond to cyber threats successfully.

A cybersecurity AI machine, however, can perform these tasks without breaking a sweat. Identity and access management (IAM) and threat tracking and reporting are just some of the tasks AI can perform effectively.

With a well-developed AI cybersecurity system, professionals will only have to perform more complex tasks, such as prioritising threats and finding new ways to identify them.

AI can improve cybersecurity efficiency

Many cybersecurity teams do not look into all the security alerts they receive. Why? Because there simply isn’t enough time for them to do so, especially when most warnings pose no real danger.

AI can help cybersecurity professionals sift real threats from the noise. For instance, AI can be applied in an Intrusion Detection System (IDS) to group potential attacks according to the threat they pose. The system can then send the risks to the appropriate administrator who will take the necessary action.

AI will provide a faster response to threats

The discovery of cyber threats can take weeks, if not months. This is enough time for malware to infect even the largest of networks. Remember, the speed of detection, and the response time, determine the amount of damage caused by an attack.

AI has the potential to shorten the discovery period of malware and other threats. Through machine learning, an AI system will not only be able to identify threats but also learn how to thwart them.

For instance, AI can be applied to an Intrusion Prevention System (IPS), which can prevent phishing attacks and other scams by blocking the IP address of the attacker. This is important considering threats can happen at any time, including when the security system isn’t being monitored.

Conclusion

Yes, AI has the potential to be quicker and more reliable in regards to identifying threats, but we are far from the point where it will completely replace human beings on cybersecurity teams. The main challenge in implementing AI for cybersecurity is the number of resources required, such as computing power, data, and memory. Nonetheless, AI does have the potential to revolutionise the world of cybersecurity.