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Answer: Enable Macie, define data classification policies, and then use Macie to automatically detect and classify sensitive data. Use Macie's ongoing monitoring capabilities to continuously detect and protect sensitive data. Examples: PII, intellectual property, financial data, and customer data.
The most efficient and automated approach is to enable Macie, define data classification policies, and then use Macie to automatically detect and classify sensitive data. Macie's ongoing monitoring capabilities can be used to continuously detect and protect sensitive data, ensuring ongoing compliance with data classification policies. Examples of sensitive data that Macie can identify include PII, intellectual property, financial data, and customer data.
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Your organization is using AWS Macie to identify and classify sensitive data. Describe how you would use Macie to detect and protect sensitive data, and provide examples of the types of data Macie can identify. Additionally, explain how you would ensure ongoing monitoring and protection of sensitive data using Macie.
A
Enable Macie, define data classification policies, and then use Macie to automatically detect and classify sensitive data. Use Macie's ongoing monitoring capabilities to continuously detect and protect sensitive data. Examples: PII, intellectual property, financial data, and customer data.
B
Enable Macie, define data classification policies, and then use Macie to manually review and classify sensitive data. Use AWS Config rules to continuously monitor and protect sensitive data. Examples: PII, financial data, and customer data.
C
Enable Macie, define data classification policies, and then use Macie to automatically detect and classify sensitive data. Use AWS Security Hub to collect and organize evidence of ongoing monitoring and protection of sensitive data. Examples: PII, intellectual property, and customer data.
D
Enable Macie, define data classification policies, and then use Macie to automatically detect and classify sensitive data. Use AWS CloudTrail to collect and organize evidence of ongoing monitoring and protection of sensitive data. Examples: PII, financial data, and intellectual property.