Credential abuse is a major deficit facing big organizations. One of the major cybersecurity issues is identity and access management. IAM systems providers introduce the traditional multifactor authentication (MFA) as a second layer of authentication. Artificial intelligence (AI) techniques can upgrade the access management system and add an extra layer of security to the MFA used for IAM authentication. This paper explores the integration and effectiveness of artificial intelligence (AI) and the usage of behavioral biometrics to enhance the security of the login activity of the identity and access management (IAM) systems. By leveraging unique patterns in user behavior, such as touch dynamics, keystroke dynamics, and gait recognition, behavioral biometrics can provide an additional layer of authentication beyond traditional two-factor authentication methods.