/AWS1/IF_CWL=>PUTDATAPROTECTIONPOLICY()¶
About PutDataProtectionPolicy¶
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.
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.
The PutDataProtectionPolicy operation applies to only the specified log
group. You can also use PutAccountPolicy to create an account-level data protection policy that applies to
all log groups in the account, including both existing log groups and log groups that are
created level. If a log group has its own data protection policy and the account also has an
account-level data protection policy, then the two policies are cumulative. Any sensitive term
specified in either policy is masked.
Method Signature¶
METHODS /AWS1/IF_CWL~PUTDATAPROTECTIONPOLICY
IMPORTING
!IV_LOGGROUPIDENTIFIER TYPE /AWS1/CWLLOGGROUPIDENTIFIER OPTIONAL
!IV_POLICYDOCUMENT TYPE /AWS1/CWLDATAPROTECTIONPLYDOC OPTIONAL
RETURNING
VALUE(OO_OUTPUT) TYPE REF TO /aws1/cl_cwlputdataprotectio01
RAISING
/AWS1/CX_CWLINVALIDPARAMETEREX
/AWS1/CX_CWLLIMITEXCEEDEDEX
/AWS1/CX_CWLOPERATIONABORTEDEX
/AWS1/CX_CWLRESOURCENOTFOUNDEX
/AWS1/CX_CWLSERVICEUNAVAILEX
/AWS1/CX_CWLCLIENTEXC
/AWS1/CX_CWLSERVEREXC
/AWS1/CX_RT_TECHNICAL_GENERIC
/AWS1/CX_RT_SERVICE_GENERIC.
IMPORTING¶
Required arguments:¶
iv_loggroupidentifier TYPE /AWS1/CWLLOGGROUPIDENTIFIER /AWS1/CWLLOGGROUPIDENTIFIER¶
Specify either the log group name or log group ARN.
iv_policydocument TYPE /AWS1/CWLDATAPROTECTIONPLYDOC /AWS1/CWLDATAPROTECTIONPLYDOC¶
Specify the data protection policy, in JSON.
This policy must include two JSON blocks:
The first block must include both a
DataIdentiferarray and anOperationproperty with anAuditaction. TheDataIdentiferarray 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
Operationproperty with anAuditaction is required to find the sensitive data terms. ThisAuditaction must contain aFindingsDestinationobject. You can optionally use thatFindingsDestinationobject 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
DataIdentiferarray and anOperationproperty with anDeidentifyaction. TheDataIdentiferarray must exactly match theDataIdentiferarray in the first block of the policy.The
Operationproperty with theDeidentifyaction 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
DataIdentiferarrays must match exactly.In addition to the two JSON blocks, the
policyDocumentcan also includeName,Description, andVersionfields. TheNameis used as a dimension when CloudWatch Logs reports audit findings metrics to CloudWatch.The JSON specified in
policyDocumentcan be up to 30,720 characters.
RETURNING¶
oo_output TYPE REF TO /aws1/cl_cwlputdataprotectio01 /AWS1/CL_CWLPUTDATAPROTECTIO01¶
Domain /AWS1/RT_ACCOUNT_ID Primitive Type NUMC
Examples¶
Syntax Example¶
This is an example of the syntax for calling the method. It includes every possible argument and initializes every possible value. The data provided is not necessarily semantically accurate (for example the value "string" may be provided for something that is intended to be an instance ID, or in some cases two arguments may be mutually exclusive). The syntax shows the ABAP syntax for creating the various data structures.
DATA(lo_result) = lo_client->putdataprotectionpolicy(
iv_loggroupidentifier = |string|
iv_policydocument = |string|
).
This is an example of reading all possible response values
lo_result = lo_result.
IF lo_result IS NOT INITIAL.
lv_loggroupidentifier = lo_result->get_loggroupidentifier( ).
lv_dataprotectionpolicydoc = lo_result->get_policydocument( ).
lv_timestamp = lo_result->get_lastupdatedtime( ).
ENDIF.