Tracking data changes in SAP security logs is crucial for maintaining data integrity and ensuring compliance with regulatory standards. In this article, we will explore the most effective methods for capturing and analyzing data changes within SAP security logs.
SAP systems contain data spanning dozens of modules, thousands of tables, and millions of rows. SAP organizes this data systematically and module-wise. Besides logical classification, this data should also be categorized based on sensitivity from a security perspective. Below are some critical modules and examples of sensitive data associated with them:
In SAP security systems, it is essential to mention the concepts of Data Element and Domain when discussing data stored in tables. A typical table consists of fields, and each field is associated with a Data Element, which is an object containing properties such as data type and field label. A single Data Element can be used across multiple tables.
Additionally, a Data Element is linked to a Domain, which defines the data type (e.g., integer, string, char, datetime, etc.) and the field length. The Domain acts as a separate object that specifies these technical properties.
Figure 1: TABLO Structure
Figure 2: Data Element and Domain
The frequency of modifications or new entries in SAP tables depends on their position within a specific module. Data stored in these tables may be updated frequently or infrequently. End-users and module experts commonly access this data for reporting purposes. All activities performed at the application level, such as updates, inserts, or data views, are recorded in the SAP logging system.
Access to tables at the application level can be observed in Security Audit Logs. For example, in the case below, the SE16 transaction code (used for table display) was utilized to access the PA0008 table (containing employee salary and payment details) in display mode.
Figure 3: Security Audit Logs
When table access is performed using configuration transactions like SCC4, logs are also created in the Security Audit Log (SAL). For instance, accessing the T000 table through SM30 using the SCC4 transaction code is logged and can be viewed using SM20.
Figure 4: Security Audit Logs
However, not every transaction code or report execution automatically generates such logs. For tables deemed critical by the customer, if no logs are being recorded, custom logs can be created using user exits and custom coding.
In custom programs (typically starting with Z or Y), developers can log table access or modification operations. This can be done either:
This approach ensures that all critical actions on tables are captured even when standard logging mechanisms are insufficient.
Brief descriptions of some of the logs kept in SAP systems are as follows.
Each of these logs serves a specific purpose and plays a critical role in ensuring the security and performance of SAP systems. Regular monitoring of these logs is essential to maintain system integrity and compliance with organizational and regulatory requirements.
By default, SAP enables logging for critical tables during system installation. The records created from this logging are stored in the DBTABLOG table, which raises the question: How to capture data changes in SAP Security Audit Log? This table reflects events such as insert, update, and delete operations performed on critical tables.
For tables outside the default logging scope, logging can be manually activated as follows:
Once this setting is activated, records for changes in the specified table will be logged in DBTABLOG.
It is essential to archive the data collected in DBTABLOG at regular intervals. Over time, the volume of log entries can grow significantly, potentially impacting the performance and storage capacity of the database. Proper archiving ensures efficient system operation while retaining critical change records for auditing and analysis.
The OPTYPE field in DBTABLOG shows the SQL operation (UPDATE, DELETE, INSERT)
SAP RAL (Read Access Logging) is a mechanism used in SAP systems to monitor and record user access to sensitive data. This feature is crucial for ensuring the protection of sensitive data under regulations such as GDPR (General Data Protection Regulation).
Defining Target Objects:
This configuration allows organizations to meet compliance requirements while ensuring that sensitive data access is monitored effectively.
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