Protecting sensitive business data in preparation for the organization's Gen AI

As organizations prepare to integrate generative AI tools like Microsoft Copilot and Google Gemini, they face significant challenges in protecting sensitive business data, particularly unstructured data, which is not easily safeguarded by traditional security measures focused on structured data. The deployment of these AI tools, often bypassing conventional gatekeepers and with unlimited data consumption potential, raises concerns as they prioritize providing accurate answers over data protection. This shift requires organizations to reassess their strategies for inventorying, protecting, and managing access to sensitive data, emphasizing the need for new approaches that recognize the emergent sensitivity of unstructured data and ensure the integrity and responsible handling of information. Controlled Unclassified Information (CUI) serves as an example of unstructured data requiring specific safeguarding measures, highlighting the complexity of defining and managing data sensitivity without relying on conventional methods like regex or predefined attributes.