Understand how secure data erasure forms a critical part of the data remediation process — helping segregate unwanted data and achieve compliance goals.
The volume of data accumulated by organizations over the years is on a tremendous rise. There is a growing need to ensure that data is clean, organized, secure, and compliant with data protection regulations. Data remediation aids in improving the quality of stored information by employing data segmentation, classification, secure handling, and cleansing.
No organization today can afford to ignore data remediation — it reduces dirty data, storage footprints, and associated costs while ensuring sensitive data doesn't fall into wrong hands.
Assess data volume to determine the time, effort, and resources required to maintain it. This first stage provides a clear picture of your organization's data landscape.
All records cannot be treated equally or stored with the same level of protection. Business confidential information requires higher security — especially customer, investor, and employee records to prevent compliance issues.
Organize structured and unstructured information based on business requirements. Classify data as Internal, Confidential, or Restricted. PII, PHI, and financial information should be classified as High Sensitive or Restricted data.
Move information from legacy storage environments that have reached end-of-life to new cleansed storage systems with improved accessibility and security.
Eradicate business information no longer required from storage devices. Unregularized data overburdens organizational networks and adds risk of data leakage. Using adequate data sanitization is the most desirable approach for data cleansing.
Successful accomplishment of the data remediation process proves beneficial to organizations across all sectors:
Reduce overall costs of storing and managing data when remediation is undertaken at regular intervals.
Segmenting and classifying data helps protect highly confidential information and enables appropriate risk mitigation actions.
Data breach risks, financial loss through fines and lawsuits, and brand damage can be prevented through structuring and cleansing.
Holding data beyond recommended retention periods creates greater risks. Cleaning up data reduces exposure and supports compliance initiatives.
Remediation protects both structured and unstructured sensitive information through periodic technical evaluation and permanent erasure.
Data remediation accelerates retrieval of relevant information in structured format, enabling teams to effectively access data with minimum time and resources.
Data protection and privacy laws are constantly emerging and updating. Organizations must stay aware of legal obligation changes to efficiently drive data remediation efforts.
As part of data cleansing obligations, organizations must ensure their media sanitization efforts comply with global standards:
Organizations can ensure sensitive data is highly secure and doesn't fall into wrong hands by opting for permanent data sanitization at the cleansing stage of data remediation.
D-Secure provides professional data erasure tools that ensure complete data sanitization during remediation — destroying data beyond recovery while maintaining global compliance.
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