Data archiving is a critical solution for organizations grappling with the ever-growing volume of digital information. With companies now storing hundreds to thousands of terabytes of data on average, effective archiving practices are essential for optimizing storage and ensuring compliance with regulatory standards.

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What Is Data Archiving?

Secure data archiving involves collecting and moving older data to a secure location for later retrieval to conduct data analysis. This practice is essential for organizations to effectively manage their data lifecycle, optimize storage resources, and comply with regulatory requirements.

Archives are distinct from backups. While data backups create copies of current, operational data for short-term recovery purposes, archives focus on preserving historical data for extended periods. Data archiving involves moving information from primary storage systems to dedicated archive storage, freeing up valuable resources and improving overall system performance.

Many compliance and regulatory standards require data archives, including GDPR, HIPAA, and SOX. But beyond regulatory compliance, data archiving can also be useful for disaster recovery, business intelligence, data governance, and legal investigations.

Why Is Data Archiving Important?

Effective data archiving solutions typically incorporate indexing, search capabilities, and secure access controls to ensure that archived information remains readily accessible when needed while maintaining its integrity and confidentiality. Organizations rely on such data practices for several reasons, including:

  • Cost optimization: By moving infrequently accessed data to archive storage, organizations reduce storage costs and optimize resource allocation, ensuring that primary storage is reserved for critical data.
  • Performance enhancement: Archiving inactive data improves system performance, allowing active systems to operate more efficiently and enhancing overall productivity.
  • Regulatory compliance: Many industries are subject to strict data retention laws, such as HIPAA, that require securely storing sensitive information. Archiving helps organizations meet these legal obligations, avoiding fines and legal issues.
  • Data loss prevention: Archives create secure, long-term repositories for important information, ensuring that critical historical records remain intact and accessible over time.
  • Business intelligence: Access to archived data supports data-driven decision-making, enabling organizations to analyze trends and gain insights that inform future strategies.
  • Disaster recovery: While distinct from backups, archives contribute to disaster recovery plans by streamlining processes and ensuring broader data protection.
  • Information governance: Effective archiving supports robust information governance, helping organizations manage data lifecycle, retention, and compliance with internal policies.
  • Litigation preparedness: Well-organized archives enable quick access to relevant documents during legal disputes, saving time and resources during e-discovery.

By implementing comprehensive data archiving procedures, organizations can enhance compliance, efficiency, and preparedness in an increasingly data-centric environment.

Who Should Use Data Archiving?

Data archiving is essential for organizations of all sizes and industries that generate and maintain substantial volumes of data. Several regulatory standards (PCI-DSS, HIPAA, and SOX) impose frequency and retention requirements. However, it is up to each organization to develop tailored archiving strategies that address their unique needs, considering factors like data types, retention periods, storage locations, and accessibility requirements.

While archived data can support disaster recovery efforts, its primary value lies in long-term retention for compliance, historical analysis, and investigations following cyber incidents or legal disputes.

Industries that particularly benefit from data archiving include:

  • Healthcare: For maintaining patient records and ensuring HIPAA compliance
  • Financial services: To meet SEC and FINRA regulations
  • Legal firms: For case file retention and e-discovery purposes
  • Government agencies: To comply with public record retention laws
  • Education: For preserving student records and research data
  • Manufacturing: To maintain product design and quality control records

Ultimately, any organization that values its data as a strategic asset should implement a robust data archiving solution to ensure long-term data integrity, accessibility, and compliance.

Small organizations with limited data may initially rely on backups alone. However, as businesses grow and data accumulates, robust archiving solutions become increasingly critical. Without proper archiving, unused legacy data can consume vast storage resources, leading to inefficiencies and increased costs.

Archiving data frees up storage space for newer data. By archiving files, email messages, and database records, organizations create space without violating regulatory standards or losing valuable information for future review.

How Data Archiving Works

Outside of data archiving to meet regulatory requirements, administrators identify obsolete files and data that can be moved. While the storage space for archived data can be cheaper and slower, it must be secure and available when required for review. By moving data to a lower-cost storage area, the organization saves money while allocating faster storage for more critical data. This process also increases productivity by reducing the time to open files and access data.

Because archived data is no longer actively used, most administrators store it in read-only mode so it cannot be altered. A secure data archive in read-only mode retains its integrity should it be needed in an investigation after a data breach or impropriety. It also prevents attackers from altering data to conceal their tracks after a compromise.

Securing data archives is as critical as maintaining its integrity. Attackers know that archives contain a wealth of information, such as intellectual property, internal messages, and financial data. These data archives are a rich target for attackers with access to high-privilege network accounts.

The choice of how to store archives typically hinges on convenience, reliability, and availability. Historically, organizations have used magnetic tape because it stores significantly more data than other media, but tape devices tend to be slower. However, it continues as a standard for organizations that need a low-cost way to store large amounts of data in a small space.

 

Information archiving

 

Attached network drives are also a common storage media but are costly. Network storage requires the real estate to host it and expensive hardware to secure and maintain it. But unlike most tape systems, network drives offer secure data archives that are readily available when the organization or investigators need to access them.

A third common option is cloud storage. Cloud storage offers high availability and low costs, but its speed depends on the organization’s bandwidth and network performance. Many organizations have moved to cloud storage for convenience and savings, but it’s still the organization’s responsibility to keep the data secure.

Data archiving best practices recommend using software to automate the process. A data archiving software’s features and capabilities vary by vendor, but most include standard features across every platform. An administrator configures the time, location, and data to be archived—the software does the rest. An archiving policy is created to determine the rules governing data movement. An administrator uses archive policies to ensure that data moved to the storage location follows the appropriate regulatory standards and requirements.

In conjunction with other archiving rules, a retention policy is also necessary. A retention policy determines how long an archive is available before the data can be overwritten or destroyed. Typically, a retention policy for backups is about 30 days, but archived data might be retained longer before it’s reconciled. Some organizations keep archived data for years before media is rotated or archives are deleted. For the most sensitive data, archives may never be overwritten or destroyed. Archiving and compliance standards could have a retention policy requirement, so organizations must ensure this configuration does not violate regulatory standards.

Types of Data Archiving

Data archiving solutions can be categorized based on the type of data they manage and their storage methods. Here are the primary types of data archiving:

Email Archiving

This form of data archiving systematically stores and indexes email communications and attachments—critical for complying with regulations like GDPR and supporting e-discovery processes in legal situations.

Database Archiving

Database archiving focuses on moving inactive database records to separate storage while maintaining data integrity and relationships, thereby optimizing database performance and reducing the load on production systems.

File Archiving

File archiving involves the long-term storage of documents, images, videos, and other file types. It helps organizations manage unstructured data, reduce primary storage costs, and ensure easy retrieval of historical files when needed.

Social Media Archiving

With the increasing importance of social media in business communications, social media archiving captures and stores posts, messages, and interactions from various social platforms. This is particularly important for industries subject to strict communication regulations.

Web Content Archiving

Web content archiving preserves website content, including text, images, and structure, crucial for maintaining records of online publications, ensuring compliance, and tracking changes over time.

Voice and Video Archiving

This type of archiving focuses on storing audio and video communications, including phone calls, video conferences, and voicemails. It’s imperative for industries like finance and healthcare for regulatory compliance and quality assurance.

Application Data Archiving

Application data archiving involves storing data from specific business applications, such as CRM or ERP systems. This archiving solution maintains historical records of business transactions and interactions while optimizing application performance.

Big Data Archiving

As organizations deal with increasingly large datasets, big data archiving solutions are designed to store and manage massive volumes of structured and unstructured data, often utilizing cloud or hybrid storage solutions.

Each type of data archiving addresses specific organizational needs and data types, contributing to a comprehensive data classification and management strategy. Organizations often implement multiple types of archiving solutions to effectively cover their diverse data landscape.

Data Archiving Best Practices

Implementing effective data archiving strategies is crucial for organizations to maintain compliance, optimize storage, and ensure data accessibility. Here are some best practices, with an emphasis on data retention policies:

  • Develop a comprehensive data retention policy: A well-defined data retention policy is the cornerstone of effective archiving. This policy should:
    • Clearly specify retention periods for different types of data
    • Align with legal and regulatory requirements
    • Define the process for disposing of data that has exceeded its retention period
    • Be regularly reviewed and updated to reflect changing business needs and regulations
  • Classify data: Implement a robust data classification system to categorize information based on its sensitivity, importance, and regulatory requirements. This classification should inform retention periods and archiving strategies.
  • Automate archiving processes: Utilize archiving software to automate data identification, collection, and storage based on predefined rules. Automation reduces human error and ensures consistent application of retention policies.
  • Ensure data accessibility: While archived data is not actively used, it should remain easily accessible when needed. Implement efficient search and retrieval mechanisms to quickly locate specific information within archives.
  • Maintain data integrity: Use read-only formats and implement verification methods like checksums to ensure that archived data remains unaltered throughout its retention period.
  • Implement secure access controls: Restrict access to archived data based on user roles and permissions. Maintain detailed logs of all access attempts and activities related to archived data.
  • Regular audits and compliance checks: Conduct periodic audits of your archiving system and processes to ensure compliance with internal policies and external regulations. Address any discrepancies promptly.
  • Plan for technology obsolescence: As technology evolves, ensure that archived data remains accessible. Develop a strategy for migrating data to new formats or storage media as needed.
  • Document chain of custody: Maintain clear records of data handling throughout the archiving process, from initial collection to final disposition—essential for data that may be used in legal proceedings.
  • Train employees: Ensure that all relevant staff members understand the importance of data archiving and are trained on proper procedures for handling and accessing archived information.
  • Implement a defensible deletion process: Establish a systematic, documented process for securely disposing of data at the end of its retention period. This process should be defensible in legal contexts.
  • Consider privacy regulations: Ensure that your archiving practices comply with data privacy regulations like GDPR or CCPA, including the right to be forgotten and data minimization principles.

By following these best practices and implementing a robust data retention policy, organizations can effectively manage their data lifecycle, reduce risks associated with improper data handling, and maintain compliance with relevant regulations.

Data Archiving Solutions

When selecting a data archiving solution, organizations should consider several key features and capabilities to manage data effectively, maintain compliance, and ensure accessibility. A comprehensive data archiving solution should capture a wide range of data types, including emails, instant messages, social media content, and other electronic communication that archives data at the point of creation or receipt to ensure completeness.

Advanced search and e-discovery capabilities are critical, allowing users to quickly locate specific information within the archive. The solution should offer flexible retention policies to meet various regulatory requirements, along with features for legal holds and the ability to demonstrate compliance through audit trails. Data security and integrity are paramount, so organizations should look for robust security measures, including encryption for data in transit and at rest, access controls, and mechanisms to prevent unauthorized data tampering or deletion.

Organizations may also benefit from cloud-based or hybrid deployment options, which provide flexibility in data storage while potentially reducing on-premises infrastructure costs. Integration capabilities are crucial for seamless operation with existing IT infrastructure and business applications, enhancing productivity and streamlining workflows. A user-friendly interface is vital, enabling both IT administrators and end-users to easily manage, search, and retrieve archived data.

Additionally, advanced analytics and reporting features can help organizations gain insights from their archived data while assisting in compliance monitoring and system usage evaluation. Cost-effective storage management features like data deduplication and compression can optimize storage usage and reduce long-term retention costs. Scalability is also critical as data volumes continue to grow. The solution must accommodate increasing amounts of information without compromising performance or requiring significant infrastructure changes.

Benefits of Data Archiving

Data archiving offers numerous advantages that extend beyond mere storage management. By implementing robust archiving practices, organizations can enhance their overall data governance strategy, improve operational efficiency, optimize cyber hygiene, and strengthen their cybersecurity posture.

  • Streamlined data migration: Archiving facilitates smoother system upgrades and migrations by reducing the volume of active data to be transferred, minimizing downtime and potential data loss.
  • Enhanced data quality: By separating historical data from current operational data, archiving helps maintain cleaner, more relevant datasets in production systems, improving data quality and accuracy.
  • Reduced backup windows: With less active data to process, organizations can significantly reduce backup times, increasing backup frequency and minimizing the risk of data loss.
  • Improved application performance: Archiving older data from production databases can lead to faster query execution and improved overall application responsiveness, enhancing user experience.
  • Facilitated data anonymization: Archiving provides an opportunity to implement data anonymization techniques on historical data, supporting privacy regulations while retaining valuable information for analytics.
  • Support for data sovereignty: Archiving solutions can help organizations comply with data sovereignty requirements by ensuring data is stored in specific geographic locations as mandated by regulations.
  • Simplified data deduplication: By consolidating historical data, archiving makes identifying and eliminating duplicate information easier, further optimizing storage use.
  • Scalability and flexibility: Modern archiving solutions accommodate growing data volumes and allow for easy cloud storage integration, providing organizations with adaptable and cost-effective options.

While archiving offers many benefits, it must be implemented strategically. A well-designed archiving strategy balances the need for accessibility with the benefits of long-term data preservation and storage optimization.

Data Archiving vs. Backups

People often confuse data archives with backups, and the two terms are often—but incorrectly—used interchangeably. While both are important, archives and backups are used for different purposes. Here are a few key differences.

Backups create duplicate copies of current, operational data for short-term recovery purposes, while archiving involves moving older, less frequently accessed data to a separate storage location to optimize primary storage resources.

Backups are essential for disaster recovery and business continuity, allowing quick restoration of recent data in case of system failures or data loss. Archives, however, are primarily used for long-term data retention, compliance, and historical record-keeping. Some organizations may use archived data and backups together—backing up an archive helps ensure its integrity.

If compliance requires archives, an organization should ensure retention and security policies align with regulatory standards to avoid fines.

Ineffective cybersecurity defenses could make all archived data accessible to cyber-attacks. A data breach on an archive could devastate business integrity and brand reputation. Organizations should implement comprehensive security strategies tailored to the specific requirements of both backups and archives, considering factors such as access controls, encryption, and regular security audits.

How Proofpoint Can Help

Proofpoint specializes in providing comprehensive, human-centric solutions to help organizations protect sensitive data and mitigate risks associated with data loss. By leveraging advanced technologies and a deep understanding of the evolving threat landscape, Proofpoint addresses complex data protection challenges through AI-augmented data classification and user behavior analysis.

With a focus on cloud-based architectures, Proofpoint simplifies scaling and reduces operational costs. Its advanced content scanning capabilities identify sensitive information across communication channels, while behavioral insights help uncover user risks. This integrated approach enhances incident response and improves overall security posture.

Additionally, Proofpoint offers managed services to assist organizations in designing and implementing effective data loss prevention and insider risk programs, ensuring best practices are followed. By partnering with Proofpoint, organizations can transform their information protection strategies, maintaining the integrity and security of their sensitive data. For more information, contact Proofpoint.

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