A Glossary of Data Security & Encryption Terminology for Archiving

In today’s data-driven world, HR and recruiting professionals handle a wealth of sensitive information, from candidate resumes and personal data to employee records and performance reviews. Ensuring the secure archiving of this data isn’t just a best practice; it’s a critical legal and ethical imperative. Understanding the core terminology of data security and encryption is fundamental for compliance, risk mitigation, and leveraging automation to protect your organizational assets. This glossary provides essential definitions, tailored to help HR leaders navigate the complexities of secure data management and archiving.

Data at Rest

Data at Rest refers to data that is physically stored on any device or in any digital storage medium when it is not actively being transmitted or used. This includes data stored on hard drives, solid-state drives, databases, cloud storage services, and archived files. For HR and recruiting teams, this encompasses all employee records, candidate profiles, offer letters, and performance evaluations residing in CRM systems, HRIS, or backup archives. Securing data at rest is paramount, often achieved through encryption, access controls, and robust physical or cloud-based security measures. Failing to protect data at rest can lead to breaches during inactive periods, making it a prime target for malicious actors seeking dormant, yet valuable, information.

Data in Transit

Data in Transit, or data in motion, refers to data actively moving from one location to another across a network, such as the internet, an intranet, or a local area network. This includes scenarios like an applicant submitting a resume via a web portal, an HR manager accessing employee data from a cloud HRIS, or secure backups being transferred to an archiving solution. Protecting data in transit is typically achieved through cryptographic protocols like Transport Layer Security (TLS) or Secure Sockets Layer (SSL), which encrypt the data stream between the source and destination. For recruiting, ensuring candidate data is encrypted during transmission prevents interception and compromise, upholding trust and compliance with privacy regulations during critical interactions.

Encryption

Encryption is the process of converting information or data into a code, preventing unauthorized access. In its simplest form, it scrambles data into an unreadable format, known as ciphertext, which can only be deciphered back into its original readable form (plaintext) with a specific key. For HR data archiving, encryption is foundational for protecting sensitive information such as employee IDs, salary details, or health records, whether they are stored (data at rest) or being transferred (data in transit). Robust encryption ensures that even if unauthorized individuals gain access to the data, they cannot understand or use it without the correct decryption key, thereby preserving confidentiality and supporting regulatory compliance.

Decryption

Decryption is the reverse process of encryption, converting encrypted data (ciphertext) back into its original, readable format (plaintext). This process requires the correct decryption key, which corresponds to the encryption key used to scramble the data. In an HR context, when an authorized user needs to access an archived employee file that was encrypted for security, the system uses the appropriate key to decrypt the data, making it legible again. The security of decryption hinges entirely on the secrecy and management of these keys; if a decryption key is compromised, the encrypted data is no longer secure. Proper key management protocols are therefore as crucial as the encryption itself.

Symmetric Encryption

Symmetric encryption is a type of encryption where the same secret key is used for both encrypting and decrypting data. This key must be shared securely between the sender and receiver. It’s often favored for its speed and efficiency, making it suitable for encrypting large volumes of data, such as entire HR databases or extensive archived employee files. Common algorithms include AES (Advanced Encryption Standard). While highly secure when the key is protected, the primary challenge for HR teams using symmetric encryption lies in securely exchanging and managing this single shared key among multiple authorized parties or systems. Any compromise of this key immediately renders all data encrypted with it vulnerable.

Asymmetric Encryption (Public-Key Cryptography)

Asymmetric encryption, also known as public-key cryptography, uses a pair of mathematically linked keys: a public key and a private key. The public key can be freely shared and is used to encrypt data, while the private key is kept secret and is used to decrypt data. This method is crucial for secure communication and digital signatures. In HR, it might be used to securely transmit sensitive documents between departments or to verify the authenticity of a document. The advantage is that the private key never leaves its owner, reducing the risk of key compromise during exchange. While generally slower than symmetric encryption, its key distribution simplicity makes it ideal for secure initial handshakes and digital identity verification.

Hashing

Hashing is a one-way cryptographic process that transforms data of any size into a fixed-size string of characters, called a hash value or digest. Unlike encryption, hashing is irreversible; you cannot reconstruct the original data from its hash. It’s primarily used for data integrity verification: if even a single character in the original data changes, the resulting hash will be completely different. For HR, hashing can be used to securely store passwords (storing the hash instead of the password itself) or to verify that an archived document hasn’t been tampered with. It ensures the integrity and authenticity of data without revealing its content, providing a robust layer of security for immutable records.

Tokenization

Tokenization is a data security method where sensitive data, such as Social Security numbers or credit card details, is replaced with a non-sensitive placeholder, or “token.” This token has no intrinsic value or meaning outside the system that generated it and cannot be reverse-engineered to reveal the original data. The original sensitive data is stored securely in a separate, highly protected data vault. For HR and recruiting, tokenization is invaluable for processing payroll information or handling candidate payment details without exposing the actual sensitive data across multiple systems. It reduces the scope of compliance for systems handling tokens, significantly lowering the risk associated with data breaches and making archives more secure by design.

Data Minimization

Data minimization is a core principle of data protection that dictates organizations should only collect, process, and retain the minimum amount of personal data necessary to achieve a specific purpose. For HR and recruiting professionals, this means critically assessing what information is truly required for a job application, employment, or archiving purposes, and deleting anything superfluous. Beyond just reducing storage costs, data minimization significantly lowers the risk profile associated with a data breach, as there is simply less sensitive information available to be compromised. Implementing this principle streamlines compliance with regulations like GDPR and CCPA, enhancing privacy by design in all HR processes.

Pseudonymization

Pseudonymization is a data protection technique where personally identifiable information (PII) fields within a data record are replaced with artificial identifiers, or pseudonyms. Unlike anonymization, the process is reversible, but only with access to additional information (a “key”) that maps the pseudonyms back to the original PII, typically held separately and securely. In HR, this allows for analysis of demographic trends or recruitment patterns without directly identifying individuals in the dataset. It provides a balance between data utility for analytical purposes and enhanced privacy, as the data itself no longer directly identifies the individual, thereby reducing the risk of re-identification in most scenarios.

Data Retention Policy

A data retention policy is a formal organizational document that outlines how long specific types of data, including HR records and candidate information, must be kept and how they should be securely disposed of once their retention period expires. These policies are critical for compliance with legal and regulatory requirements (e.g., EEOC, FLSA, GDPR) and for managing storage resources. For HR and recruiting, defining clear retention periods for applications, employee files, background check results, and payroll data prevents indefinite storage of sensitive PII, which can increase legal liability and security risks. An effective policy integrates with archiving strategies to ensure data is moved to secure, compliant storage and eventually defensibly deleted.

Data Archiving

Data archiving is the process of moving inactive data out of active production systems into separate, long-term storage for retention purposes. Unlike backups, which are used for data recovery, archives are intended for data that is no longer regularly accessed but must be retained for compliance, legal, historical, or reference reasons. For HR, this applies to records of past employees, old payroll data, or completed recruitment cycles. Effective archiving solutions ensure data immutability, secure access, and easy retrieval when needed, while reducing the load on primary systems. A robust archiving strategy is essential for meeting regulatory demands without compromising the performance or security of live operational data.

Backup vs. Archive

While often conflated, backups and archives serve distinctly different purposes in data management. A **backup** is a copy of data used for disaster recovery, allowing an organization to restore operational data quickly in case of data loss, corruption, or system failure. Backups are usually short-term, frequently updated, and focused on operational continuity. An **archive**, on the other hand, is a long-term, static repository for data that is no longer actively used but must be retained for legal, regulatory, or historical reasons. Archived data is typically immutable and accessed infrequently. For HR, live employee data might be backed up daily, while records of former employees from five years ago would be moved to an archive, differentiating recovery from compliance-driven long-term retention.

Access Control

Access control refers to security measures that regulate who can view, edit, or delete specific data and resources. It’s a fundamental component of data security for HR and recruiting, ensuring that only authorized personnel can access sensitive employee and candidate information. This is typically implemented through roles and permissions, where different user roles (e.g., Recruiter, HR Manager, Payroll Specialist) are granted varying levels of access to HRIS, CRM, or archived data. Granular access controls prevent unauthorized disclosure, manipulation, or destruction of sensitive information, significantly reducing internal and external security risks and supporting compliance with privacy regulations.

Audit Trails

An audit trail is a chronological record of events, activities, and operations performed on a system or data. In the context of HR data security and archiving, an audit trail logs who accessed what data, when, and what actions were performed (e.g., viewed, modified, deleted). This provides an indisputable record of data interactions, crucial for accountability, security incident investigation, and regulatory compliance (e.g., proving adherence to data access policies). For HR, robust audit trails confirm that sensitive employee and candidate data is handled appropriately, detect suspicious activities, and provide necessary evidence during legal proceedings or compliance audits, reinforcing trust and security.

If you would like to read more, we recommend this article: Beyond Live Data: Secure Keap Archiving & Compliance for HR & Recruiting