Protecting your organizations sensitive data is one of the most critical parts of business operations, and many are now taking steps to ensure data is protected. Large enterprises tend to apply large-scale solutions such as traditional perimeter security and DLP, and overlook the greater efficiency found in directly integrating security solutions, such as classification, into daily business user activities where protection can be applied at the moment of creation, identifying what data needs to be protected. Knowing and understanding your data at the different levels of sensitivity is critical in developing the proper security framework for your organization. Building the security foundation on a strong classification policy is a great place to start. Here are five reasons why you should integrate your sensitive SAP data into existing classification frameworks.

  1. Simplifies the process: The easier it is to incorporate a new work tool, the better the chances for a high success rate. Users don’t want their workflow interrupted by having to adapt to an additional step when a new work tool is introduced. By integrating classification into existing work processes, it makes the addition seamless and painless for users, minimizing the disturbance of an added step.
  2. Educates users: When faced regularly with the decision making responsibility of classifying data at the moment of creation, it causes users to stop and think about the sensitivity of the data they are handling, increasing their awareness of the risk associated with mislabeling the data. A simple classification scheme broken down by distinct levels and departments makes it easy for users to decide what label to use, and as time progresses, more specific labels can be added, making sure to define what each category is for and what type of information belongs there. This level of specificity makes it simpler for users to understand their data, where it belongs, and why it needs to remain secure.
  3. Creates efficiency in security controls: Identifying and properly labeling an organizations information is critical, as there are many levels of which information can exist with the need to remain proprietary among employees, executives, and the public. Not all information is considered business-critical and sensitive or may even need to be accessible to the public by law. However, there is also data that is meant for internal eyes only, and even further excluded to certain personal. Utilizing security controls, such as VPNs, that are meant to protect all data in the same way is a tremendously inefficient way to secure sensitive data. That is, protecting trade secrets in the same manner as storing materials made available to the public. Access policies must be established for the different levels of data sensitivity through the classification process, which means including the often forgotten SAP data that is regularly extracted from the system. By identifying and classifying data at the moment of its creation, enterprises can enable efficient management of sensitive data. Integrating SAP data in the overall classification framework is necessary for ensuring consistent data handling across the entire organization.
  4. Ensure consistent data handling: Similar to number three, consistency in how data is handled, labeled, moved, and stored is key in forming the strongest protective structure around your sensitive data. All users need to be familiar with the classification scheme and develop proper and consistent habits in classifying their data. This will minimize the risk associated with user error and improper data handling.
  5. Streamline compliance efforts: Classification simplifies the compliance process and reduces costs associated with it by streamlining the ability to track and easily identify sensitive data, by adding context and structure to otherwise vast and overwhelming amounts of sensitive data. With an integrated policy, there will be fewer instances of sensitive data being overlooked or improperly tagged, minimizing the risk of noncompliance.

An integrated solution minimizes the risk that occurs when SAP data is extracted without any classification mechanism applied to identify the sensitivity of the data then, and at later times. It is far more likely that users will adapt to a new tool when it is easily accessible amongst tools that are already apart of their daily activities, integrated for seamless application with the SAP user interface and configured to immediately prompt the user to add intelligent classification without requiring them to leave SAP. Not having to leave SAP to classify data will reduce the risk of users ignoring the classification policy requirements altogether and provide ultimate data integrity, risk prevention, and data security.


Like these 5 reasons to integrate SAP data into your existing classification framework? Learn 5 Steps to Implementing a Successful Data Classification Policy.

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