Risk Based Authentication
Anvesh Gunuganti · Journal of Artificial Intelligence & Cloud Computing · 2022
In the world of cybersecurity, increasing challenges faced by organizations trying to catch up with the technology used by cybercriminals for advanced attacks on their data and systems are becoming increasingly significant. Legacy authentication practices, which rely on static credentials, have become ineffective in fighting new accounts attacks as credential stuffing and taking accounts over by the bad actors. On the other hand, to overcome these obstacles, RBA is a dynamic model based on contextual risk indicators, determining the required authentication level.This SLR scrutinizes the implementation of Risk-Based Authentication (RBA) employed by the Ping Risk, one of the top RBA platform, in the platforms. Through the process of integrating academic literature and anecdotal evidence, the paper discusses in what ways RBA with Ping Risk makes the cybersecurity more efficient and inviting for the end user in the organizational environment. Through the analysis of RBA, the adaptive nature of RBA is noticed where all identification techniques dynamically changes every authentication based on the user behavior, device information, and location hence, the security posture is improved but the user experience is not compromised.The results describe about the fact that Resort-Based Authentication (RBA) and Ping Risk can create organizations to do away with the currently happening threats. This mode of operation is much more effective when compared to traditional static authentication techniques. It is considered highly reliable and acceptable under the current circumstances. The review acquaints organizations with most important areas through which RBA security policies should be developed that include periodic assessment of the RBA risks, engaging users in the educational programs, and continuous monitoring of the RBA policies.