In today's data-centric landscape, the concept of "sensitive data" undergoes diverse interpretations and classifications across industries. Given the distinctive requirements and risk parameters in different sectors, what stands as sensitive data in one industry might be seen as non-critical in another. However, establishing a strong foundation in understanding the universal categories of data generally regarded as sensitive can significantly bolster any company's data protection strategy.
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