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November 27, 2024
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5
 min read

Data Retention Requirements for compliance

Data Retention Challenges and How Strac’s DLP/DSPM Solution Can Help

Data Retention Requirements for compliance

TL;DR

Data retention is a cornerstone of regulatory compliance across industries. Frameworks such as GDPR, HIPAA, PCI DSS, and others require organizations to securely retain sensitive data only as long as necessary and ensure its timely and secure disposal. Failing to comply with these requirements exposes organizations to fines, security breaches, and reputational damage.

TL;DR:

  • Outline the specific data retention requirements for GDPR, HIPAA, PCI DSS, SOX, GLBA, ISO 27001, FINRA, CCPA, SOC 2, FISMA, NIST, and HITRUST.
  • Highlight common challenges organizations face in meeting these requirements.
  • Explain how Strac’s Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) solutions simplify compliance with retention mandates.


1. Data Retention Requirements for GDPR (General Data Protection Regulation)

  • Data Retention Requirements:
    • Personal data should only be kept as long as necessary for the purpose for which it was collected.
    • Supports the "right to erasure" (Article 17), which mandates the deletion of personal data upon request unless required for legal compliance.
  • Penalties:
    • Fines up to €20M or 4% of annual global turnover for non-compliance.


2. Data Retention Requirements for HIPAA (Health Insurance Portability and Accountability Act)

  • Data Retention Requirements:
    • Retain medical records and PHI (Protected Health Information) for 6 years (or longer based on state laws).
    • Securely dispose of PHI after the retention period through deletion, shredding, or encryption.
  • Penalties:
    • Civil penalties up to $1.5M per year for violations.


3. Data Retention Requirements for PCI DSS (Payment Card Industry Data Security Standard)

  • Data Retention Requirements:
    • Prohibit storing sensitive authentication data (e.g., CVV codes) post-authorization.
    • Retain transaction data only as long as necessary for legal or business purposes.
  • Penalties:
    • Fines from card networks, loss of payment processing privileges, and legal liability.


4. Data Retention Requirements for SOX (Sarbanes-Oxley Act)

  • Data Retention Requirements:
    • Maintain financial and audit-related records for 7 years.
    • Ensure secure storage to prevent tampering or unauthorized access.
  • Penalties:
    • Fines, imprisonment, and reputational damage for corporate executives.


5. Data Retention Requirements for GLBA (Gramm-Leach-Bliley Act)

  • Data Retention Requirements:
    • Protect customer financial information with retention policies aligned to business and regulatory needs.
    • Securely dispose of outdated financial records.
  • Penalties:
    • Fines up to $100,000 per violation.


6. Data Retention Requirements for ISO 27001

  • Data Retention Requirements:
    • Requires a documented data retention policy as part of information security management.
    • Data retention must align with business, regulatory, and contractual needs.
  • Penalties:
    • Non-certification can lead to loss of business opportunities.


7. Data Retention Requirements for FINRA (Financial Industry Regulatory Authority)

  • Data Retention Requirements:
    • Retain customer communications and transaction records for at least 6 years.
    • Ensure retention policies align with SEC Rule 17a-4.
  • Penalties:
    • Fines and operational suspensions for brokers or firms.


8. Data Retention Requirements for CCPA (California Consumer Privacy Act)

  • Data Retention Requirements:
    • Personal data must be retained only as long as necessary for business or legal purposes.
    • Requires secure deletion upon consumer request under the "right to delete."
  • Penalties:
    • Fines up to $7,500 per violation.


9. Data Retention Requirements for SOC 2 (Service Organization Control 2)

  • Data Retention Requirements:
    • Requires controls for data retention and disposal to ensure data security, availability, and privacy.
    • Policies must align with the SOC 2 Trust Principles.


10. Data Retention Requirements for FISMA (Federal Information Security Management Act)

  • Data Retention Requirements:
    • Federal agencies must define retention policies for sensitive information aligned with NIST standards.
    • Ensure secure deletion of expired federal data.


11. Data Retention Requirements for NIST (National Institute of Standards and Technology)

  • Data Retention Requirements:
    • Align retention and disposal policies with NIST SP 800-88 (Guidelines for Media Sanitization).
    • Focus on secure disposal of sensitive data on media.


12. Data Retention Requirements for HITRUST (Health Information Trust Alliance)

  • Data Retention Requirements:
    • Retention and disposal policies for healthcare and business data must align with HIPAA and organizational needs.


Data Retention Requirements Challenges and Pain Points

1. Data Proliferation

  • Pain Point: Sensitive data spreads across emails, SaaS apps (e.g., Slack, Google Drive), databases, and endpoints, making it difficult to track retention timelines.
  • Example: Legacy emails containing PII or PHI remain accessible far beyond their intended retention periods.

2. Manual Compliance Processes

  • Pain Point: Manual tracking of data retention timelines is prone to errors and resource-intensive.
  • Example: Compliance teams struggle to audit which data exceeds its retention policy.

3. Unstructured Data Challenges

  • Pain Point: Unstructured data (e.g., emails, shared drives) is harder to classify, increasing non-compliance risk.
  • Example: Slack channels may store financial data for years with no automated retention enforcement.

4. Legal and Financial Risks

  • Pain Point: Over-retention creates unnecessary legal exposure and increases storage costs.
  • Example: A GDPR fine for retaining outdated customer data.


How Strac Helps with Data Retention Requirements?

1. Automated Data Discovery and Classification

  • What Strac Does:
    • Discovers sensitive data (PII, PHI, PCI) across SaaS apps, cloud databases, and endpoints.
    • Classifies data based on retention policies specific to regulations like GDPR or HIPAA.
  • Example: Automatically identify emails older than 6 years containing PHI and flag them for secure deletion.

Data Retention Requirements: Strac Data Discovery and Classification


2. Retention Policy Enforcement

  • What Strac Does:
    • Maps compliance-specific retention timelines to data types.
    • Enforces retention policies through automation and alerts.
  • Example: Ensure CVV codes are deleted immediately post-authorization to comply with PCI DSS.


3. Secure Disposal of Data

  • What Strac Does:
    • Enables secure deletion or anonymization of data exceeding retention timelines.
    • Logs actions for audit readiness.
  • Example: Anonymize customer financial data after the mandatory retention period under SOX.

Data Retention Requirements: Strac Secure Disposal of Data across all SaaS apps including email, chat messages, etc.


4. Comprehensive Dashboards

  • What Strac Does:
    • Provides a single view of retention compliance for multiple frameworks.
    • Tracks which files, emails, or databases exceed retention policies.
  • Example: Display a GDPR compliance dashboard showing 100% adherence to data retention policies.


5. Integration Across Platforms

  • What Strac Does:
    • Integrates with tools like Slack, Google Workspace, SharePoint, AWS S3, and more.
  • Example: Automatically apply CCPA retention policies to Google Drive files.

Data Retention Requirements: Strac Integrations with SaaS, Cloud and Gen AI Apps


6. Audit-Ready Reporting

  • What Strac Does:
    • Maintains detailed logs of retention actions for audits.
    • Provides on-demand reports for compliance assessments.
  • Example: Generate a HIPAA compliance report showing all PHI securely deleted post-retention.


7. Cost and Risk Reduction

  • What Strac Does:
    • Reduces storage costs by securely deleting unnecessary data.
    • Minimizes legal risks with timely compliance.
  • Example: Save thousands annually in storage costs by deleting redundant customer records.
Discover & Protect Data on SaaS, Cloud, Generative AI
Strac provides end-to-end data loss prevention for all SaaS and Cloud apps. Integrate in under 10 minutes and experience the benefits of live DLP scanning, live redaction, and a fortified SaaS environment.
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