• Ishaq Azhar Mohammed

The main focus of this research is to explore how artificial intelligence may be used in the context of identity and access management. The identity and access management system (IAM) is a prime requisite in the cybersecurity arsenal of many organizations. In addition to mitigating against data breaches, it also helps to manage the risks associated with working remotely and bringing your device – BYOD – into the workplace. Internal data synchronization, customer contact preference management, and fulfilling privacy compliance standards are just a few of the important tasks that IAM is continuously developing to handle in the modern world [1]. It is important to recognize the significance of a well-thought-out and well-developed IAM strategy. Determining who should have accessibility to what information is a tough decision for many companies, and this difficulty makes their information systems insecure. Forrester's study found that 83 percent of companies do not have a mature strategy to identity and access management (IAM). When compared to companies that have implemented their IAM strategy, these companies are twice as likely to have difficulties as a result of a security breach [1]. A clear positive correlation has been found between better IAM methods and decreased security risk, enhanced productivity, greater privileged activity control, and significantly reduced financial loss, according to the study.

Identity and Access Management (IAM), artificial intelligence, automation, Internet of Things (IoT), Multi-Factor Authentication (MFA)

"A literature review on the application of AI to Identity Access Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.96-99, October-2018, Available :http://www.jetir.org/papers/JETIR1810A65.pdf

"A literature review on the application of AI to Identity Access Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp96-99, October-2018, Available at : http://www.jetir.org/papers/JETIR1810A65.pdf