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.
See https://www.paws-r-sdk.com/docs/cloudwatchlogs_put_data_protection_policy/ for full documentation.
cloudwatchlogs_put_data_protection_policy(logGroupIdentifier, policyDocument)[required] Specify either the log group name or log group ARN.
[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, 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.
The contents of the two DataIdentifer arrays must match exactly.
In addition to the two JSON blocks, the policyDocument can also
include Name, Description, and Version fields. The Name is used
as a dimension when CloudWatch Logs reports audit findings metrics to
CloudWatch.
The JSON specified in policyDocument can be up to 30,720 characters.