Bitium's comprehensive identity platform enables CIOs to be an agent of change inside their organization.
Helpful insights and tools designed to help answer questions and inform your cloud security strategy.
Google Apps is one of the most widely-used productivity tools for small and medium businesses. For many organizations, Google Apps is the main portal through which employees access company resources like email, calendars , documents and the company directory. Within Google, each user’s account credentials (or “identity”) is the means through which employees are granted access to the Google Apps suite.
With Bitium, users can access NYU CareerNet with their Google username and password. Bitium can provision and deprovision users into NYU CareerNet using user and group settings defined with Google Apps.
Bitium is the leading solution for leveraging Google Apps identities in NYU CareerNet and across all of your cloud apps.
Bitium’s Google Apps integration allows you to sync your directory with Bitium to manage access rights. Grant, change or remove credentials for any user in NYU CareerNet from within Google Apps or Bitium.
Bitium's autoprovisioning functionality allows you to automatically create, edit or delete users in NYU CareerNet based on settings in Bitium or Active Directory.
Add an additional layer of password protection with multifactor authentication (2FA). 2FA verifies user identities via mobile app before granting them access to Bitium.
With Single Sign-On (SSO), users log in once to Bitium, allowing them to launch more than 10000 supported web apps with a single click of an icon from their Bitium dashboard. SSO helps employees save time and prevents lost or forgotten passwords.
See who is using NYU CareerNet, when they use and from where. You'll also have insight into the security of each user's NYU CareerNet password.
Bitium's SAML solution provides enhanced security by removing app passwords and replacing them with a secure token between Bitium and your cloud apps. Since there's no password for SAML logins, there's no risk of credentials being stolen or used by unauthorized users.