In data loss prevention, what is considered sensitive data?

Sensitive data refers to information that, if disclosed or accessed without authorization, could result in harm to individuals or organizations. Personal information, especially that which can lead to identity theft, is a prime example of sensitive data. This includes details such as Social Security numbers, credit card information, and personal health data.

Identity theft can have serious consequences for individuals, including financial loss and reputational damage, making it critical to protect such information through data loss prevention strategies. Organizations have legal and ethical obligations to safeguard this type of personal data, underscoring its status as sensitive.

On the other hand, publicly available information is not considered sensitive because it can be accessed without restriction. Information essential for system functionality, while important, does not inherently present a security risk unless it pertains to sensitive data. Finally, non-critical data that affects user experience may be relevant for performance and user satisfaction but does not fall into the category of sensitive data that requires stringent protective measures. Thus, personal information that could lead to identity theft stands out as the correct identification of sensitive data in data loss prevention.