ESSAY BODY

 

 

First of all, cybersecurity suffers from weaknesses these days, so the use of artificial intelligence will be useful in many aspects. It's hard to manage the right system configuration. Layered computer security is more common than ever in an environment of continuous innovation. Teams can use response tools to discover, modify, and upgrade problems that arise when their network infrastructure is changed, modified, and upgraded. Kaspersky Lab. (No date) Furthermore, when thinking about how to place legacy on-premises frameworks on top of more modern Internet infrastructure such as cloud computing, IT staff must ensure that the company's systems are compatible in order to protect them, since the teams reconcile unlimited updates with routine day-to-day support activities. The manual methods for analyzing the security of the configuration confuse them. Teams can get quick advice on recently found issues with the help of smart, adaptive automation. They can also receive instructions on alternatives to follow or even set up programs that will automatically change settings when necessary.    Human efficiency decreases in repetitive tasks and the rate of human error increases. Human error is a problem any time you have people doing the work manually. Saphia Lanier(2019). Since the work environment is dynamic in this field, purchasing efficiency is a weak point in cybersecurity. The individual configuration of many devices in a single company takes a lot of time.

 

On the other hand, simulating human intelligence is costly, takes a lot of time and limits creativity. Artificial intelligence techniques do not have the ability to think outside the box because they cannot learn until the passage of time and also do not have that creative sense. Also, the use of artificial intelligence may cause a significant increase in the unemployment rate because AI systems replace human resources, and another drawback in cybersecurity is that once it is programmed, it is not reprogrammed when it is in service, and this causes limited availability of processing resources. Also, AI for cybersecurity requires more work and training, and it must be constantly updated to meet challenges and cyber threats. PROFESSIONAL SECURITY MAGAZINE. (2022). Moreover, training employees who are adaptable and more flexible from the tools of artificial intelligence and who have always ambition to become better and are always looking for improvement, development and progress can be better than using artificial intelligence techniques.