There are many positive aspects of AI. For instance, it can predict what customers need and deliver a customized solution. When it comes to the darker side of AI, the debate often revolves around data privacy. Other discussions about it refer to the science fiction realm, where Hollywood movies have showcased these technologies taking over. While we do not expect to see these dramatized cyberattacks, there are a growing number of everyday cyberattacks being enabled by AI.

 

Due to the increasing number of attacks being carried out using AI, the concept of machine intelligence has become more prevalent. AI attackers are now able to learn and interact with humans in a way that mimics their human intelligence.

 

The increasing number of attacks being carried out using AI has become harder to predict and put an end to due to their intelligence. Once the threats surpass the capabilities of the defenders, they become much harder to control. Due to the nature of AI security, it is important that organizations react quickly to prevent these attacks from happening.

The rapid pace of technological change has made it easier for cyber criminals to carry out attacks. 

 

To effectively prevent attacks using AI, it is crucial that the industry first learns how threat actors are using it. This can be done by analyzing the various types of attacks that they are capable of carrying out and the common information they are able to exploit.

 

How Criminals Use AI to Pose Security Threats

 

Attackers can use AI to imitate the actions and language of real people. This allows them to perform attacks without being detected by humans or technology. One of the most important advantages of using AI is that it can quickly identify and locate holes in an organization’s infrastructure. When placed in the wrong hands, it puts a company in a place of vulnerability since AI can detect things that humans might not be able to.

 

While AI can help predict the needs of customers, cyber criminals still use the same strategy to increase their chances of success in hacking. They can use data collected from other users or the targeted individual to develop an attack that will work for that specific person.

 

Introducing AI Security

 

As attacks become more sophisticated, it is important that the industry uses the latest techniques to prevent them from happening. One of the most effective ways to do this is by using AI against them, beating them at their own game. Similar to how threat actors use AI to predict the actions and risks of their attackers, they can also predict the likelihood of an attack happening.

Through the use of AI, organizations can now move “from proactive to predictive.” It can perform various tasks related to risk intelligence. These include risk management, risk sensing, threat monitoring, and automation. Although using AI security for a single task can reduce an organization’s risk, the best protection comes from combining all of these tasks.