Navigating the unstructured data problem: a CyberWire discussion with Heather Ceylan
Blog post from Box
AI offers significant opportunities for enterprises to leverage vast amounts of content, yet also presents novel security challenges, particularly concerning unstructured data governance. The discussion between Heather Ceylan, Box's Chief Information Security Officer, and Dave Bittner from CyberWire highlights the critical issue of managing unstructured data that is dispersed across various platforms, potentially leading to unauthorized access when AI agents interact with it. Traditionally, this has been less of a concern with human access due to limited scope; however, AI's ability to access and act on extensive datasets increases the risk of data breaches. To mitigate this, organizations are advised to classify and label data, applying stringent permissions to control access. AI can assist in this classification process, making it more feasible than manual efforts, thus enhancing security and productivity while maintaining necessary human oversight for sensitive operations. This approach aims to harmonize AI utilization with robust security measures, allowing enterprises to benefit from AI while safeguarding their data.
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