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Factors Based on Compliance
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DBV factors defined as constants can be used to support compliance regulations in your environment In our notional example, we have a condition that states that audit trails must be maintained for period of seven years and certain types of administrators are restricted from altering an audit trail We might also have compliance regulations that dictate the number of days a corporate officer must review internal controls These conditions for compliance may change over time DBV factors defined as constants allow for the potential for change and avoid the need to hard code the details of a compliance control in application code For example, we may define a DBV factor Audit_Retention_Period as follows:
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dbvowner@aos>BEGIN dbms_macadmcreate_factor( factor_name => 'Audit_Retention_Period' , factor_type_name => 'Organizational',
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description => 'A compliance control that dictates the' || 'number of years audit trails must be maintained', rule_set_name => NULL , get_expr => '7', validate_expr => NULL, identify_by => dbms_macutlg_identify_by_constant, labeled_by => dbms_macutlg_labeled_by_self, eval_options => dbms_macutlg_eval_on_access, audit_options => dbms_macutlg_audit_on_get_error, fail_options => dbms_macutlg_fail_with_message);
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END; / PL/SQL procedure successfully completed COMMIT Commit complete
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This factor s function, DVFF$Audit_Retention_Period, could be leveraged in PL/SQL code or Oracle VPD policy to ensure that audit records are not deleted in a manner that would violate the compliance policy This type of configuration control is available to all applications in the database
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To ensure the integrity of audit trails, a separation of duty control was specified to prevent database administrators from updating or deleting them We can use a DBV factor to define the database administrator roles we want to restrict, such as DBA, OLAP_DBA, or IMP_FULL_ DATABASE, and the factor will return an indicator if the current database session has been granted one of these roles:
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dbvowner@aos>BEGIN dbms_macadmcreate_factor( factor_name => 'Database_Administrator' , factor_type_name => 'User', description => 'The current session has database administrator roles', rule_set_name => NULL, get_expr => 'dbvextdbms_mac_extensionuser_has_role( ''DBA,OLAP_DBA,IMP_FULL_DATABASE'')', validate_expr => NULL, identify_by => dbms_macutlg_identify_by_method, labeled_by => dbms_macutlg_labeled_by_self, eval_options => dbms_macutlg_eval_on_access, audit_options => dbms_macutlg_audit_on_get_error, fail_options => dbms_macutlg_fail_with_message); END; / PL/SQL procedure successfully completed
Using this approach, we can define factors around sensitive application or database roles that are used in our environment This factor leverages the DBVEXTDBMS_MAC_EXTENSION PL/SQL package s user_has_role function, which checks the session against the roles to which it has access as defined in the SYSDBA_ROLE_PRIVS view It would be straightforward to create a complementary
6: Applied Database Vault for Custom Applications
function in this package to leverage the SYSDBA_SYS_PRIVS view to determine whether a session has access to sensitive system privileges, such as BECOME USER, ADMINISTER DATABASE TRIGGER, or EXEMPT ACCESS POLICY, should your security policy require such checks The user_has_priv function was included with the DBVEXTDBMS_MAC_EXTENSION PL/SQL package to meet this need It is important to configure these factors with an eval_options parameter set to dbms_ macutlg_eval_on_access so that if the conditions change during the course of a database session, the factor s retrieval method is executed to get the most current information available
Factors Based on Organizational Policy
In our example use case, the organization policy dictates that a Product Manager can query the details only of products for which the manager is responsible This condition might be based on a small number of product categories or product types in the system Smaller user-driven lists or user-driven single values defined by organizational policy can be implemented as DBV factors Consider the SHPRODUCTS table, for example, and its small number of product categories:
sh@aos>SELECT DISTINCT prod_category FROM shproducts ORDER BY 1; PROD_CATEGORY -------------------------------------------------Electronics Hardware Peripherals and Accessories Photo Software/Other 5 rows selected
If an organization employs a single manager for one or more product categories, we can implement a simple PL/SQL function to return the product categories a logged in user manages and use this function as the retrieval method of a notional factor named Product_Categories_ Managed The advantage of this approach is that the function is called at session startup and available for the remainder of the session as part of a DBV rule or in the PL/SQL that controls Virtual Private Database (VPD) or Oracle Label Security (OLS)
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