Data security

Organizations use new technologies such as artificial intelligence (AI) to minimize the damage caused by cyberattacks and prevent potential accidents. They put into effect some strategies to protect their data. AI tools can examine data and detect abnormal data hidden for human agents.

Infrastructure security

Nowadays, sensitive infrastructures are prone to cyber-attacks. Unfortunately, these attacks are becoming more complex and advanced than ever before. This is where artificial intelligence needs to be used because it is capable enough to protect infrastructures against cyber-attacks and prevent harm to the general public.

Suppressing cyber-attacks

AI and ML technology maximize the users' security, thus minimizing the threats. For example, some AI-based systems can detect cyber-attacks and then make recommendations to suppress or avoid cyber-attacks.

Predicting cyber-attacks

Organizations are using more advanced machine learning (ML) models to protect themselves against cyber-attacks. One of the key benefits of machine learning is scale, as developers can use machine learning to perform experiments and predict cyberattacks. Moreover, they can help determine the scale and extent of the risks and dangers, especially those that are difficult for human agents to detect.

Providing cybersecurity

AI scientists have developed a cybersecurity management system to assess the security of the connected devices in companies and institutions. A system has also been developed using AI and ML that can detect patterns and potential cyber-attacks in specific areas such as energy, manufacturing, retail and transportation.

Detecting security threats

Given the increasing global threats imposed on the data and information security of organizations, it is necessary to make use of advanced tools and technologies such as AI to identify threats and cyber-attacks. AI algorithms provide appropriate solutions by analyzing and classifying potential threats based on their complexity.