The pandemic has expedited digitalisation, which has resulted in several benefits such as enhanced corporate agility and customer experiences. However, there have been some drawbacks, such as your data and applications becoming more vulnerable to Cyber Security threats. A cyberattack is a malicious and purposeful attempt to breach an individual’s or organization’s computer and information systems in order to disrupt the victim’s network for personal advantage.
The possibility that attackers could weaponize AI and utilise it to expand and strengthen their cyberattacks is one of the main concerns about AI’s progress. The landscapes of cybercrime and Cyber Security are continuously evolving, and accelerating AI development for Cyber Security will be a game-changer in the fight against cyber-attacks. Let’s take a look at how AI is altering the Cyber Security scene.
Machine Learning (ML), a subset of Artificial Intelligence, allows for real-time detection of cyber risks based on the study of all available data within an organisation. Machine Learning algorithms adapt and update themselves in real time to detect risks to your system before they can be exploited. These algorithms are capable of comprehending every component of an organization’s infrastructure and network, as well as potential attack scenarios.
User activity and behaviour on devices and web platforms can be analysed using AI and ML algorithms to better understand their behavioural patterns. Any deviation or odd conduct will be labelled as suspicious right away. User patterns such as employee working hours, the geographical location used to log into the network, device IDs, typing or scrolling behaviours on those devices, and so on are all looked for by the algorithms.
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