The rise of new business initiatives, artificial intelligence (AI), and new delivery mechanisms within the cloud paradigm—is putting stress on many organization’s identity infrastructures. This is particularly prevalent in organizations with heavy SaaS utilization, large business-to-consumer (“B to C”) application needs and organizations that are in a state of flux due to Merger & Acquisitions (M&A) activities.

As an organization’s Information Technology environment grows increasingly heterogeneous and distributed, with a growing number of AI integrated SaaS/cloud and other web-based applications to support, the need for a way to rationalize the infrastructure for M&A activities and provide a global, actionable view of identity across incongruent sources is critical.

What follows are actual real-world use cases utilized for prior M&A initiatives completed through identity and context virtualization; that pulled information from various disparate systems and applications, reconciling the data, and presenting it in views appropriate to each application, allowing for data sharing and synchronization when required—all without disturbing the functioning of the existing infrastructure.