Identity analytics, or identity and access management (IAM), has a number of different use cases in organizations of all sizes and industries. Some common examples include:
1. User provisioning and de-provisioning: Identity analytics can be used to automate the process of creating and removing user accounts, ensuring that only authorized users have access to the systems and services they need.
2. Access control: Identity analytics can be used to monitor and manage users’ access to systems and services, ensuring that they only have the level of access that is appropriate for their role and responsibilities.
3. Single sign-on (SSO): Identity analytics can be used to implement SSO, which allows users to access multiple systems and services using a single set of credentials. This can improve the user experience and reduce the risk of unauthorized access.
4. Multi-factor authentication (MFA): Identity analytics can be used to implement MFA, which requires users to provide multiple forms of authentication (e.g., a password and a security code sent to their phone) in order to access systems and services. This can add an extra layer of security to protect against unauthorized access.
5. Compliance: Identity analytics can be used to help organizations ensure that they are compliant with relevant regulations and industry standards, such as the General Data Protection Regulation (GDPR) or the Payment Card Industry Data Security Standard (PCI DSS).
Overall, identity analytics can be used in a wide range of different scenarios to improve security, efficiency, and compliance in organizations.