It's important for every organization to understand the risks of dirty data and how to mitigate the threats it poses.
experienced more than one data breach in 2022. Cleaning up your data leads to strong updates and applications—which, in turn, contribute to the overall security of your platform. Cybercriminals will exploit any weaknesses they find. Minimize any potential exposure by cleaning up your data.DevSecOps stresses the importance of imbuing each step of the application lifecycle with data security considerations.
Data silos occur when each department has its own version of the same set of data rather than a uniform standard version shared across all teams. Siloed data creates confusion, resulting in productivity declines. This creates an unstable environment that can lead to data loss either through accidental deletions, misaligned processes or cybersecurity vulnerabilities.
Dirty data makes it much more difficult to uphold these standards by acting as a roadblock to the implementation of an organization's data governance strategy. Compliance issues not only open an organization up to costly fines and penalties, but they also serve as red flags for improper processes—which indicate signs of deeper data security issues.Identifying and rectifying any errors in your data takes some time and attention, but the results will be worth it.
Additionally, providing continuous training on how to properly enter new data and configure environments will help avoid the introduction of unreliable data in the future.As cyber threats continue to grow more evolved and costly, organizations must do everything they can to protect their systems. Strong data that is up to date, standardized and accurate is a critical part of guarding your IT infrastructure against security risks.
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