Your organization is migrating a sensitive data processing workflow from on-premises infrastructure to Google Cloud. This workflow involves the collection, storage, and analysis of customer…

Encrypting data at rest and in transit is a fundamental security measure but does not inherently prevent an authorized user from exfiltrating sensitive data; it merely protects the data if it's exfiltrated, but doesn't prevent the act itself.

Cloud Data Loss Prevention (Cloud DLP) is specifically designed to scan, identify, and protect sensitive information like PII. By applying redaction, tokenization, or other de-identification techniques, Cloud DLP directly mitigates the risk of data exfiltration by ensuring that sensitive data is transformed or blocked from leaving the controlled environment in an unprotected state.

Restricting all outbound network traffic and implementing rigorous access controls are strong general security practices that can prevent exfiltration attempts, but Cloud DLP offers a more targeted solution by inspecting and transforming the *content* of the data itself, which is crucial when dealing with PII.

Relying on employee expertise to prevent accidental data exfiltration is not a technical security measure and is highly unreliable for mitigating risks associated with sensitive data.