Apply Machine Learning to all aspects of IAM
Manage IAM Life Cycle with minimal administration
Manage unstructured data through entitlement enrichment
Seamless access to cloud and on-premise applications
Automate Service Requests
Reduce helpdesk workloads with self-service password resets
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Build SCIM Compliant Connectors for non-SCIM Applications
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A holistic machine learning IAM platform reduces risk!
4555 Great America Pkwy #301
Santa Clara, CA 95054, USA
#80, 1st Floor, 4th B Block, Koramangala,
Bangalore, Karnataka 560034, India
Businesses today struggle to answer who should have access to what and what users are doing with their access. Existing Software Tools fall short with only static representations of a difficult and dynamic problem: Unending policy changes and administration around various IAM processes. Problem becomes unmanageable over time and this decreases Organization’s capacity to automate activities around IAM/IAG.
True Identity Intelligence - coupling of Identity Access Life Cycle with Machine Learning reducing the burden of Administration
Today, each employee needs access to nearly a hundred cloud-based and on-premise business applications requiring various levels of access depending on their role in the organization. Having 10,000 employees means having a million constantly changing accounts under management.
All IAM professionals know over time employee roles change leaving remnants and artifacts of previous access. In many cases, employees who leave an organization continue to have access to key applications.
Hear Tuebora’s CEO, Sanjay Nadimpalli discuss and demonstrate how using Tuebora’s new Identity Discovery and Assessment Tool (IDAT) allows you to snapshot your organization’s IAM health.