Cybersecurity

Photo: Dell

Adaptation and implementation of AI in various companies are happening rapidly and increasingly. Companies around the globe have realized and observed the true potential of AI, especially in the period following the global pandemic. With that said, there have been a few questions surrounding the security of data, privacy, and so on. In this article, we are going to take a look at cybersecurity, and overall data protection with the use of AI. We will focus primarily on the healthcare implementation and use of AI.

The security concern

AI is on the raise but with it, so are many concerns and one of the main ones is security. According to the McKinsey & Company report from 2021 named "The state of Artificial Intelligence 2021", of more than 1,800 professionals who have participated in the study, 57 percent place cybersecurity as a top concern. Let's take a closer look at why this is exactly the case and what can be done to strengthen cybersecurity.

AI overall has seen some great development over the last couple of years. Machine learning and natural language processing together enable AI to use more data, analyze it faster, quicker and perform various tasks including efficient communication with clients or in healthcare with patients. AI is essentially taking more and more advantage of the resources in the cloud. This is for some a major cause of concern.

The sheer volume of data that AI can contain and go through is truly staggering. This is of course, necessary as this is the best way AI can learn and grow. Furthermore, this is how a team of dedicated workers trains an AI system. Some of this data comes from patients, their needs, illnesses, etc. Therefore, the reason for concern is obvious.

AI as a cutting-edge cybersecurity tool

Machine learning or AI algorithms play a key role in changing the way in which we detect and identify malware and protect valuable data. An important thing to note is that machine learning AI is not magical and it still needs to be properly trained. Even though it can make a mistake, once it does, it learns and cannot make the same mistake again. Therefore, the more it is trained the more efficient it becomes.

AI algorithms can prevent some novel threats. Essentially, machine-learning AI technologies have the ability to automate threat detection, and respond more effectively than conventional software-driven or manual techniques. Therefore, cybersecurity is enhanced with the use of AI.

As mentioned above, AI with machine learning can be used to effectively spot cyber threats and possibly malicious activities. The sheer number of new malware created in recent years has made it hard for traditional software systems. However, with new AI that is more advanced and uses machine learning, AI systems are being trained to detect malware, run pattern recognition, and detect even the minutest behaviors of malware.

Implementing AI in healthcare properly - What needs to be done?

When it comes to cybersecurity, the safest way to protect valuable data, files, and information, in general, is proper implementation. What does that mean for AI in healthcare exactly? Addressing liability issues and legal information sharing is a priority. The already existing laws and policies surrounding technological tools and services may be outdated and need to be updated first. Regulation should require that patient data remain in the jurisdiction from which it is obtained.

Once a team of dedicated workers is properly trained and implemented AI, health clinics can not only stop worrying about cybersecurity but also enhance it. Namely, with AI, aside from other benefits, clinics can identify and detect suspicious traffic, harmful software, infected links, or information vulnerability contexts in time. All of this actually increases the safety of patients' files and data.

The growth of the use of AI in healthcare

We have mentioned at the beginning of this article that there is a clear growth in the usage of AI in many companies throughout the world. However, this goes for health clinics as well. More and more clinics are moving towards digitalization. New and innovative AI technologies such as Patricia created by Eniax team have enabled health clinics to engage in completely new, and more effective ways of communication with patients. To begin with, natural language processing brings AI the ability to naturally and efficiently communicate with patients either via text or voice chat. In addition to this, AI also has the ability to perform many other tasks that are administrative which can greatly help clinics.

So, AI can help clinics by maintaining schedules, lowering waiting times, handling multiple patients, and being able to reach more patients and also patients who are far away. Patients on the other hand can benefit greatly by getting all of the information they need instantly and from a reliable source that can communicate as if it were a normal human being thanks to natural language processing.

AI and cybersecurity - In conclusion

AI is fast emerging and the new technologies surrounding it such as natural language processing and machine learning have brought many benefits. While security and data privacy have been some of the major concerns, through practice, it is quite clear that the new AI technologies, when implemented properly, not only enhance the privacy of patients for example but also help protect valuable data. AI gives the much-needed analysis and threat identification and with a team of dedicated and trained experts behind it, can be efficiently used to minimize breach risk and enhance security posture.