In what context can data be considered more or less sensitive?

Data sensitivity is heavily influenced by context or jurisdiction, which means that the circumstances and location surrounding the data play a crucial role in determining how sensitive it is. For example, personal data may be treated differently under various privacy laws depending on the region (such as GDPR in Europe versus PIPEDA in Canada). This means that the same type of data might be seen as highly sensitive in one jurisdiction but may not have the same status in another.

Additionally, the context in which data is used can alter its sensitivity. Information that seems relatively benign on its own might become sensitive when combined with other data types or when it is used in ways that could harm individuals or organizations.

In contrast, while the nature of the data, its size, or industry standards can indeed contribute to assessments of sensitivity, they do not account for the overarching influence of the surrounding context and applicable laws. Therefore, understanding data sensitivity requires a comprehensive view that encompasses the jurisdiction and specific use cases, rather than simply focusing on a particular aspect such as nature or industry standards.