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Google Cloud employs Cloud Data Loss Prevention (DLP) to scan, classify, and manage sensitive information effectively. Cloud DLP is designed specifically to help organizations identify and handle sensitive data within their systems. It utilizes machine learning models and various detection techniques to classify data, recognizing patterns that indicate personally identifiable information (PII), financial data, and other sensitive categories.

By scanning datasets, Cloud DLP can provide insights into where sensitive information resides, allowing organizations to take appropriate action, such as securing, redacting, or deleting sensitive data that may pose compliance risks. This proactive approach to sensitivity identification ensures that organizations can comply with privacy laws and protect user information from unauthorized access.

The other options, while relevant to data security and management, do not specifically address the identification and management of sensitive data in the same targeted manner that Cloud DLP does. Firewalls primarily focus on network-level security, encryption protects data at rest or in transit but does not facilitate its identification, and access controls regulate who can access data without specifically managing sensitive data classification.