Identity Access Management Software

Key features of identity and access management software include secure authentication, user identity management, user authorization and access control, single sign-on (SSO), directory services, audit and compliance reporting, federated identity management, privileged access management, and user behavior analytics. Robust IAM software ensures users’ authentication by employing passwords, multi-factor authentication (MFA), and biometrics. MFA is a high-end security procedure that gives an additional layer of security. MFA incorporates a second verification factor, thus minimizing the risk of unauthorized access even more. IAM software includes user identity management that creates and manages user profiles within a system. User identity management involves provisioning new user accounts, de-provisioning accounts, updating changes in the profile, and allowing access rights. After confirming the user’s identity, IAM software incorporates access control to decide which users can have access to which types of resources. Mostly, IAM software encompasses two types of access control models: role-based access control (RBAC) and attribute-based access control (ABAC). Another important security feature of IAM software is single sign-on (SSO), which ensures that users have access to multiple applications and resources with a single login. SSO enhances user experience by relieving users from having to remember multiple passwords. Moreover, IAM software encompasses directory services, which are simply organized repositories of user information. Directory services store and manage essential user information, such as usernames, passwords, roles, etc., in an organized hierarchical manner. Additionally, IAM software offers auditing and reporting features to generate users’ in-depth activity logs so that you can view each user’s access times and the number of breaches attempted. Auditing and reporting ensure compliance with necessary regulations such as GDPR and HIPAA. Lastly, IAM software includes user behavior analytics by leveraging machine learning to detect unusual user activity. UBA analyzes user activities and marks deviations in patterns as potential security breaches.