**9. Future directions**

Technology is changing continuously, and it is important to stay on the cutting edge. In the future, incorporating hybrid software would be a good idea to secure the health data. Cybersecurity experts should intelligently manage the system since AI and machine learning are still susceptible to attacks. It is recommended that in the future data governance and compliance strategies should be a top priority with more security and privacy legislation on the horizon. Many cybersecurity applications can be made easier and more efficiently with machine learning algorithms. In the future, this technology will lighten the weight of a heavy cybersecurity workload and will reduce human error.

That same reduction in human error is also applicable to health diagnoses. Medical errors, some of which are incorrect diagnoses, may result in approximately 251,000 deaths every year according to [35]. Additionally, many more die every year because they do not get treatment quickly enough. Healthcare systems that incorporate AI into the diagnosis process, as well as the smart health sector, could see a drop in these deaths due to the AI more accurately diagnosing a patient, as well as identifying the problem sooner.
