CloudWatchLogs / Client / put_data_protection_policy

put_data_protection_policy#

CloudWatchLogs.Client.put_data_protection_policy(**kwargs)#

Creates a data protection policy for the specified log group. A data protection policy can help safeguard sensitive data that’s ingested by the log group by auditing and masking the sensitive log data.

Warning

Sensitive data is detected and masked when it is ingested into the log group. When you set a data protection policy, log events ingested into the log group before that time are not masked.

By default, when a user views a log event that includes masked data, the sensitive data is replaced by asterisks. A user who has the logs:Unmask permission can use a GetLogEvents or FilterLogEvents operation with the unmask parameter set to true to view the unmasked log events. Users with the logs:Unmask can also view unmasked data in the CloudWatch Logs console by running a CloudWatch Logs Insights query with the unmask query command.

For more information, including a list of types of data that can be audited and masked, see Protect sensitive log data with masking.

See also: AWS API Documentation

Request Syntax

response = client.put_data_protection_policy(
    logGroupIdentifier='string',
    policyDocument='string'
)
Parameters:

  • logGroupIdentifier (string) –

    [REQUIRED]

    Specify either the log group name or log group ARN.

  • policyDocument (string) –

    [REQUIRED]

    Specify the data protection policy, in JSON.

    This policy must include two JSON blocks:

    • The first block must include both a DataIdentifer array and an Operation property with an Audit action. The DataIdentifer array lists the types of sensitive data that you want to mask. For more information about the available options, see Types of data that you can mask. The Operation property with an Audit action is required to find the sensitive data terms. This Audit action must contain a FindingsDestination object. You can optionally use that FindingsDestination object to list one or more destinations to send audit findings to. If you specify destinations such as log groups, Kinesis Data Firehose streams, and S3 buckets, they must already exist.

    • The second block must include both a DataIdentifer array and an Operation property with an Deidentify action. The DataIdentifer array must exactly match the DataIdentifer array in the first block of the policy. The Operation property with the Deidentify action is what actually masks the data, and it must contain the "MaskConfig": {} object. The "MaskConfig": {} object must be empty.

    For an example data protection policy, see the

    Examples

    section on this page.

    Warning

    The contents of two DataIdentifer arrays must match exactly.

Return type:

dict

Returns:

Response Syntax

{
    'logGroupIdentifier': 'string',
    'policyDocument': 'string',
    'lastUpdatedTime': 123
}

Response Structure

  • (dict) –

    • logGroupIdentifier (string) –

      The log group name or ARN that you specified in your request.

    • policyDocument (string) –

      The data protection policy used for this log group.

    • lastUpdatedTime (integer) –

      The date and time that this policy was most recently updated.

Exceptions

  • CloudWatchLogs.Client.exceptions.InvalidParameterException

  • CloudWatchLogs.Client.exceptions.LimitExceededException

  • CloudWatchLogs.Client.exceptions.OperationAbortedException

  • CloudWatchLogs.Client.exceptions.ResourceNotFoundException

  • CloudWatchLogs.Client.exceptions.ServiceUnavailableException