Secure Data Access Management for Cyber Threats using Artificial Intelligence

Artificial intelligence (AI) research, which aims to imitate intelligent behaviour in artificial systems, has long drawn inspiration from human cognition. The most critical component of artificial intelligence is repetitive learning. The impact of AI on security is a major issue for the entire world. Future method in social and natural sciences should also take this into account, as it is important. Security safeguards are critical, especially because many services are delivered via online devices. Security and proper data governance should be included in the outcomes. The industrial and digital revolutions are significantly impacted by the use of Artificial Intelligence in society. Precautions to maintain accessibility when using electronic devices are essential in many applications. Applications like data mining, data analytics, bitcoin, and blockchain technology must be shielded from online risks when accessing data. More cyber threats might materialise as a result of their use of the Internet and uncontrolled data access for their applications. As a means of reducing these risks and maximising the advantages of the wide spread application of AI advancements, the analysis offers high-security safe data access management for dealing with cyber risks utilizing Artificial Intelligence. Therefore, it offers a solution for those who are ready to take an enterprising risk to create innovative goods or services that may be used globally for commerce. The performance of this method is calculated on different aspects such as Accuracy, Recall and Specificity. Though the accuracy for different methods varies, this analysis will give the best results.