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Data Management

The Dangers of Data Hoarding

Understand the risks of data hoarding and why organizations must implement proper data retention and erasure policies.

What is Data Hoarding?

The practice of storing data in huge volumes for an indefinite period of time is known as data hoarding. Businesses often collect voluminous data to extract customer insight or business value from it in the future. However, the data may not be optimally used due to a lack of adequate resources, tools, skills, or a clear strategy.

This results in an excessive accumulation of redundant and unnecessary data, which can create data security challenges. If this data is compromised, it can have a detrimental impact on the business, turning data from an asset into a liability.

Dangers of Data Hoarding

Increased Risk of Data Breach

Unstructured, dark data in large volumes that is left unattended becomes more vulnerable to data breach risks. The more data an organization hoards, the more targets it provides for cybercriminals. According to IBM, the average total cost of a data breach on a global scale is US $4.45 million.

Insider Threats

Employees who accumulate excessive amounts of data without purpose endanger sensitive information. Unauthorized access and usage of this information compromises confidentiality, integrity, and availability, increasing the chances of data getting lost or breached.

Backup Redundancy

Over-accumulation of data at different locations (on a device or in the cloud) heightens the possibility of data leakage. According to the Veeam 2023 Ransomware Trends report, "Data stored in backups is the most common target for ransomware attackers."

Compliance and Legal Risk

Storing data beyond the retention period it was collected for, without a clear purpose, or after the purpose has been fulfilled, is a violation of data privacy regulations like CCPA, EU-GDPR, and UK-GDPR. Supervisory authorities have the power to send notices, suspend business activities, and impose penalties.

Increased Total Cost of Ownership

As the volume of collected data increases, so does the cost of storage, irrespective of the lack of direct contribution to organizational objectives. This includes costs for physical space, energy consumption, cooling, and server maintenance.

How to Prevent Data Hoarding

Data Retention Policies

Implement clear policies defining how long data should be retained

Automated Erasure

Use automated data erasure tools to delete data after retention period

Regular Audits

Conduct regular data audits to identify and remove redundant data

Data Minimization

Collect only the data necessary for specific business purposes

Conclusion

Data hoarding poses significant risks including increased data breach vulnerability, compliance violations, and higher operational costs. Organizations must implement proper data retention policies and use Enterprise-grade data erasure solutions to eliminate redundant data and protect sensitive information.

Stop Data Hoarding with D-Secure

Implement automated data erasure policies to eliminate redundant data and reduce security risks.

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Frequently Asked Questions

Data hoarding is the practice of retaining massive amounts of unstructured and often redundant data 'just in case,' without a clear business or legal requirement for its preservation.
It increases the attack surface and the potential impact of a data breach. The more 'dark data' an organization stockpiles, the higher the risk of sensitive information being exposed during a cyberattack.
Data hoarding can lead to violations of privacy laws like GDPR and DPDP Act, which mandate data minimization. It also increases the cost and complexity of legal discovery during litigation.
By implementing a robust data retention and disposal policy, using automated discovery tools to identify redundant data, and performing compliance-verified erasure on end-of-life assets.
Dark data is information that organizations collect, process, and store during regular business activities but generally fail to use for other purposes (like analytics).
Organizations often forget about dark data, leaving it unmanaged and unprotected. If a breach occurs, this forgotten data can contain sensitive information that increases the breach impact.
Shadow data refers to data stored outside formal IT infrastructure, such as on personal cloud accounts or unmanaged employee laptops, posing a major security risk.
Organizations should implement strict governance, use discovery tools, and ensure all retired devices—including personal ones used for work—undergo compliance-verified sanitization.
Shadow data refers to unprotected information that exists outside an organization's security perimeter. This includes data shared on collaboration platforms, stored on personal devices, insecure cloud servers, or decommissioned assets.
Shadow data can be erased securely using professional data erasure software like D-Secure Drive Eraser. The software must be NIST and ADISA tested to ensure complete removal of data from all storage areas.

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