A Richtlinie zur Datenaufbewahrung defines how long an organization keeps data, what data should be retained, and when it should be securely deleted based on regulatory, legal, and business requirements.
In today’s data-driven environment, retention is no longer just about storage—it’s about:
- Risikominderung
- ensuring compliance
- minimizing data exposure
- improving governance
In diesem Leitfaden erfahren Sie:
- What a data retention policy is
- Why it matters
- Key requirements and regulations
- Best practices for implementation
Key Takeaways: Data Retention Strategy
- Over-retaining data increases compliance and security risk
• Retention policies must define what to keep, delete, and archive
• Regulations like GDPR and HIPAA require strict retention controls
- Data discovery and classification are foundational
• Automation is critical for enforcing retention policies
- Strong retention policies reduce privacy and breach risk
Was ist Datenspeicherung?
Data retention is the practice of storing data for a defined period of time based on legal, regulatory, and business requirements—and deleting it when it is no longer needed.
Organizations retain data for:
- compliance obligations
- business operations
- analytics and insights
- legal and audit requirements
What is a Data Retention Policy?
A data retention policy is a formal framework that defines:
- what data is retained
- how long it is stored
- where it is stored
- when and how it is deleted
Data Retention vs Data Archiving vs Data Deletion
| Konzept | Definition | Purpose |
|---|---|---|
| Aufbewahrung von Daten | Keeping data for a defined period | Compliance & operations |
| Data Archiving | Long-term storage of inactive data | Cost optimization |
| Löschung von Daten | Removing data permanently | Risk reduction |
Why Data Retention Policies Matter
1. Reduce Risk from Over-Retention
Up to 75% of over-retained records contain sensitive data—significantly increasing breach risk.
2. Ensure Regulatory Compliance
Gesetze wie:
require strict control over retention and deletion.
3. Improve Security Posture
Less data = smaller attack surface.
4. Lower Storage Costs
Reducing redundant, obsolete, and trivial (ROT) data lowers infrastructure costs.
Key Insight: Why Data Retention Is a Hidden Risk
Many organizations retain data indefinitely due to lack of visibility. However, unused data often contains sensitive or regulated information—creating unnecessary exposure.
What Should a Data Retention Policy Include?
A strong policy defines:
- Data types: financial, personal, health, legal
- Aufbewahrungsfristen: based on regulations and business needs
- Storage locations: cloud, on-prem, hybrid
- Zugriffskontrollen: who can access data and when
- Deletion procedures: secure, auditable destruction
- Audit tracking: record of retention and deletion actions
Data Retention Examples
- Gesundheitspflege: HIPAA requires patient records retained for at least 6 years
- Finanzen: SOX requires financial records retained for 7 years
- Workplace safety: OSHA requires exposure records retained for up to 30 years
How Long Should Data Be Retained?
There is no universal retention period. It depends on:
- data type
- regulatorische Anforderungen
- business value
- risk exposure
Best practice: retain data only as long as necessary.
What are examples of data retention policies?
Examples of data retention policies include keeping financial records for seven years under SOX, retaining healthcare records for six years under HIPAA, and deleting personal data when it is no longer needed under GDPR.
Data Retention Best Practices
1. Daten entdecken und klassifizieren
Identify sensitive, personal, and regulated data across systems.
2. Define Clear Retention Rules
Align retention periods with regulatory requirements.
3. Automate Policy Enforcement
Manual processes are not scalable.
4. Implement Secure Deletion
Ensure defensible, auditable data disposal.
5. Review Policies Regularly
Update policies annually or when regulations change.
6. Align Legal, IT, and Security Teams
Retention policies require cross-functional ownership.
Data Retention Checklist
- Alle Datenquellen identifizieren
- Classify sensitive and regulated data
- Define retention periods
- Implementieren Zugangskontrollen
- Automate deletion workflows
- Monitor compliance and risk
Regulatory Requirements for Data Retention
GDPR
- Retain data only as long as necessary
- Require secure deletion
CCPA
- Disclose retention practices
- Support data deletion requests
HIPAA
- Retain records for at least 6 years
SOX
- Retain financial records for 7 years
How to Choose a Data Retention Solution
Suchen Sie nach Plattformen, die Folgendes bieten:
- Automatisierte Datenerkennung und -klassifizierung
- Richtlinienbasierte Aufbewahrungsregeln
- Regulatory mapping
- Secure deletion workflows
- Continuous monitoring and auditing
Explore Data Retention Topics
BigID for Data Retention Management
BigID ermöglicht es Organisationen:
- Discover and classify data at scale
- Automate data retention and deletion policies
- Reduce data risk and attack surface
- Ensure compliance across regulations
Ready to Reduce Data Risk?
Organizations that implement modern retention strategies reduce cost, risk, and compliance exposure.
FAQ: Data Retention Policy
What is a data retention policy?
A data retention policy defines how long data is stored and when it should be deleted.
Why is data retention important?
It ensures compliance, reduces risk, and improves security.
How long should data be retained?
Retention periods depend on regulations, business needs, and data type.
What happens if data is over-retained?
Over-retained data increases security risk, compliance exposure, and storage costs.
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