The terms data protection and data privacy are often used interchangeably, but there is a significant difference between the two. Data privacy defines who has access to data, while data security provides tools and policies to restrict access to data. Protect your valuable data with a top-notch data protection service. Safeguard your business against cyber threats, data breaches, and unauthorized access. Compliance rules help ensure that user privacy requests are met by companies, and companies are responsible for taking measures to protect private user data. It plays an important role in business operations, development, and finance. Data protection solutions rely on technologies such as data loss prevention (DLP), storage with built-in data protection, firewall, encryption, and Endpoint Protection.
What Is Data Protection and Why Is It Important?
Data security symbolizes the strategic and procedural steps taken to protect the privacy, availability, and integrity of sensitive data, and is often used alongside the term ‘data security’. These protective measures are important for organizations that collect, process or store sensitive data. The data, its purpose is to prevent data corruption, loss, or damage. In an era where data production and storage are growing at an unprecedented rate, the importance of a robust data protection strategy is paramount. The primary goal of data protection is not just to keep sensitive information safe but to ensure that it remains accessible and reliable, thus preserving trust and compliance in data-centric operations.
What Are Data Protection Principles?
Data is kept safe and accessible in all situations with the use of data protection principles. This includes operational data backup and business continuity/disaster recovery (BCDR) and involves implementing aspects of data management and data availability.
- Here are the key data management aspects related to data security:
- Data lifecycle management involves automating the transmission of important data to offline and online storage.
- Information lifecycle management involves evaluating, cataloging, and protecting information assets from a variety of sources, including facility outages and disruptions, application and user errors, machine failures, and malware and virus attacks.
What Is Data Privacy and Why Is it Important?
Data privacy is a guideline on how data should be collected or managed based on its sensitivity and importance. Data privacy typically applies to personal health information (Phi) and personally identifiable information (PII). This includes financial information, medical records, Social Security or ID numbers, names, dates of birth, and contact information.
Data privacy concerns apply to all sensitive information that organizations handle, including customers, shareholders, and employees. Often, this information plays an important role in business operations, development, and finance.
It prevents criminals from using data maliciously and helps ensure organizations meet regulatory requirements.
What Are Data Protection Regulations?
Data protection rules govern how certain types of data are collected, disseminated, and used. Personal data includes a variety of information, including names, photos, email addresses, bank account details, IP addresses of personal computers, and biometric data.
For example, China enacted a data privacy law that came into force on June 1, 2017, and the European Union’s (EU) General Data Protection Regulation (GDPR) took effect in 2018. Non-compliance may result in reputational and monetary damages and fines based on violations as directed by each law and governing entity.
Compliance with a set of rules does not guarantee compliance with all laws. Additionally, each law contains several clauses that may apply to one case but not to another, and all rules are subject to change. This level of complexity makes compliance difficult to implement consistently and appropriately.
Data Protection vs Data Privacy
Although both data security and privacy are important and the two often come together, these terms do not represent the same thing. One addresses policies, and the other mechanisms. Data privacy focuses on defining who has access to data while data security focuses on enforcing those restrictions. Data privacy defines the policies that data protection tools and processes use.
Creating data privacy guidelines does not ensure that unauthorized users do not have access. Likewise, you can restrict access with data protection even while keeping sensitive data unprotected. Both are needed to ensure that data remains secure.
Users control privacy, companies ensure security. Another important difference between privacy and security is who is generally in control. For privacy, users can often control how much data they share and with whom. For security, it is up to the companies handling the data to ensure that it remains private.
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