Identifying the Trends and Minimizing the Risks with Your Sensitive Data

The progress and challenges faced by many organizations center around the significant volumes of unstructured data continuously produced and stored in shared content repositories. In 2020 alone, 64.2ZB of data was created or replicated, the majority of which is unstructured. And the volume of incoming content is expected to grow by 4.5x over the next two years with nearly 60% of that content being unstructured.
 
Unstructured data represents a wealth of knowledge and a key opportunity to gather valuable insights. However, it also poses risks related to regulatory compliance, corporate integrity, and an organization’s reputation.
 
While much of that content may be strictly professional, private or inappropriate content may also have found its way into your repositories. This content may harm an organization’s reputation if found in internal databases. At the same time, many processes require Personally Identifiable Information (PII) and other types of personal information which could result in regulatory penalties if not managed properly. Knowing and identifying what is hidden in enterprise content repositories are vital within the current landscape.
 
In this webinar replay, we discuss:
·        How to proactively identify, mitigate, and prevent uncontrolled use of sensitive content
·        Why AI matters so much when you’re faced with such vast amounts of content
·        How AI and text analytics can assess the risks within unstructured information
·        Your organization can increase efficiency and optimize governance by incorporating these practices

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