Data Privacy: What It Is and Why It’s Important

Large-scale data privacy violations — such as Meta’s €1.2 billion fine for violating the General Data Protection Regulation (GDPR) — have highlighted issues surrounding data privacy. Corporations, governments, and many large technology companies possess a large amount of information and control, which is alarming for both consumers and businesses.

According to Pew Research, 81% of U.S. adults report being concerned about how companies use the personal data they collect. Additionally, only 42% of organizations surveyed in our Perforce Delphix 2025 State of Data Compliance and Security Report believe they have adequate solutions to ensure data privacy in artificial intelligence (AI) environments.

What is Data Privacy?

Data privacy involves handling personal information while fully protecting a person’s identity and confidentiality. It safeguards your basic privacy rights under the law.

It also determines what data can be rightfully shared by third parties. There are three main elements to data privacy: 

• Your right to control your personal data.
• Procedures for proper handling and processing of data.
• Compliance with data privacy regulations.

For an individual, data privacy covers personally identifiable information (PII) and personal health information (PHI). This may include: 

• Social security numbers.
• Health and medical records.
• Financial data.
• Basic information like names, addresses, and birthdates.

For a business, this includes operational information like:

• Proprietary research.

• Development data.

• Confidential financial records.

• Federal tax information.

Benefits of Data Privacy

Online Protection for Individuals

Data privacy ensures bad actors cannot exploit your personal information for illegal activities. This protects you from identity theft, fraud, and unlawful character attacks.

Personal information can be anything found on one’s driver’s license to banking details, as well as personal photos and images.

Data Protection for Businesses

Organizations and businesses have sensitive or confidential information that should not be in the public domain. This may include: 

• Preliminary scientific research.
• Business operating frameworks.
• Sensitive data between employees and HR. 
• Client information. 

In a business context, safeguarding data provides a competitive edge and prevents delicate data from getting into crooked hands.

Freedom of Speech

Data privacy protection also upholds freedom of speech. While distinctions should inevitably be made between hate speech and freedom of expression, it becomes easy to misconstrue information or take things out of context without data privacy. 

This is especially dangerous in countries and environments where the freedom of expression is restricted. For example, Privacy International highlighted how the Chinese government uses the personal data of their citizens as a monitoring tool for anti-Chinese communications.

Protection Against Hackers

Increased improvements to maintain data privacy make it difficult for hackers to access certain information. If the steps necessary to implement data protection controls are not taken, personal and company data can be used for blackmail, extortion, identity theft, phishing scams, and numerous other kinds of fraudulent activities.

Data Privacy vs. Data Security

Many people use data privacy and security interchangeably. However, data privacy focuses on the collection, processing, sharing, archiving, and deletion of data. Data security, on the other hand, are measures that an organization takes to prevent third parties from unauthorized access or any intentional or unintentional alteration, disclosure, or deletion of data. 

Data security aims to prevent the exploitation of stolen data garnered from data breaches and cyber attacks. Techniques include: 

• Access control.
• Data masking.
• Encryption.
• Network security.

Data Privacy Regulations

According to UN Trade & Development, 79% of countries have with legislation in privacy and data protection. Data privacy regulations are complex because there isn’t a single comprehensive federal law that governs data privacy in the United States. As a result, many sector-specific and medium-specific laws address health information, telecommunications, credit information, financial institutions, and marketing. Even so, our State of Data Compliance and Security Report found that 100% of surveyed organizations have data subject to privacy regulations in their non-production environments.

The U.S. Federal Trade Commission Act does not explicitly regulate what information should be included in website privacy policies, even though it exerts its authority to issue regulations, protect consumers, and enforce privacy laws.

On the upside, federal laws govern online data collection, such as the Fair Credit Reporting Act, the Children’s Online Privacy Protection Act, the Health Insurance Portability and Accounting Act. Each act is tailor-made to its specific industry.

In the United States, the most notable and comprehensive data privacy legislation is the California Consumer Privacy Act (CCPA), which went into effect as of January 1, 2020. This legislation imposes hefty duties on entities or persons that collect personal information about or from California residents.

It outlines how data is collected and stipulates that all information must be displayed in a privacy policy on an entity’s website. The New York SHIELD Act is similar to the CCPA but solely applies to residents in New York. Virginia is the latest state to adopt a consumer privacy law signed in early March 2021.

On a global scale, the GDPR governs the collection, use, transmission, and security of data collected from residents who are part of the European Union. Any business that fails to uphold the law may be liable for a fine of up to 4% of the EU’s total global turnover.

Additionally, another new regulation in Europe — the Digital Operations Resilience Act (DORA) — mandates additional cyber resilience requirements for financial institutions.

Examples of Data Privacy Risks

Data breaches and non-compliance with privacy regulations can be a costly affair. Here’s a list of data privacy risks that could impact business:

Inadequate Knowledge

Individuals and companies should understand and/or have access to a privacy guide describing data privacy basics they are responsible for. This can include avoiding errors such as: 

• Poor password hygiene.
• Personal data sharing without explicit consent.
• Not rectifying outdated or incorrect personal data.

Businesses should have a data privacy guideline available for both employees and customers. This resource will ensure there is a clear understanding of data privacy policies.

Insecure Data Transfers & Cloud Software

Always ensure that data is transferred over secure channels, ie. SFTP, HTTPS, or TLS. If a website is not secure, it means hackers could modify, steal, or read personal information. In addition, you should always vet any data stored via a cloud vendor to guarantee maximum protection.

Delta Dental, a holding company for the largest dental benefits system in the U.S., underwent a cloud migration with support from Delphix. The organization needed to stay compliant with HIPAA and handle its protected health information carefully. To avoid any data compromise, Delphix helped Delta Dental mask the data before replicating it to AWS and reduced cloud migration times from 8 weeks to just hours. 

Poor Breach Response

All data privacy compliance programs should have a multi-step incident response plan with a protocol for when a cybersecurity attack occurs. Most plans have six phases: 

• Preparation.
• Identification.
• Containment.
• Eradication.
• Recovery.
• A debriefing.

Your robust data governance program should be flexible enough to maintain compliance with changing data security and privacy legislation.

Data Protection Tips

Not everyone can afford the millions of dollars corporate and government organizations spend each year on data security. However, when it comes to personal data protection, there are few simple steps you can take.

Keep Your Operating System Up to Date and Use Anti-Virus Software

Software updates don’t just iron out functionality issues; they also eradicate vulnerability issues and update a device’s security system. Even though they can be inconvenient, it is one of the simplest ways to ensure greater data protection. 

In addition, antivirus software also offers critical protection against malware, i.e., software specifically designed to send personal data to unauthorized third-party users over the internet.

Employ Strong Encryption

Be sure to properly encrypt your at-rest data (data stored on physical servers) and in-transit data (information on cloud servers). Algorithms that have Advanced Encryption Standard (AES) offer at least 128-bit encryption. For highly sensitive data, 256-bit encryption is most appropriate. You can encrypt data with a VPN pin to ensure no one can read it, even if it is hacked.

Manage Your Passwords Properly

Don’t be lackadaisical with passwords just because it’s convenient. Try to use a unique, complex password and don’t replicate it on every application and/or device. In addition your password should include a combination of upper and lower case letters, numbers, and special characters. 

Avoid passwords with details that strangers can easily guess with basic research — such as birthdate, hometown, or middle name. An audit can help you gauge your password strength, while multi-factor and two-step authentications can notably bolster data security.

Mask Your Non-Production Data

Non-production data environments used for development, testing, and analytics pose the highest risk. In our State of Data Compliance and Security Report, 95% of organizations cited using static data masking to protect sensitive data in these environments.

A data masking solution that automatically identifies sensitive information in data sources, runs de-identification algorithms, and creates an auditable data privacy history can drastically mitigate the risk of a data breach. Data masking also enables enterprises to govern data in accordance with security policies and data privacy regulations.

Data Privacy FAQ

Even with a basic overview of data privacy, many people still have a few pressing but common questions around the responsibility and the protection of data.

Which Member of an Organization is Responsible for Privacy?

Any employee who handles personal data is responsible for its privacy. However, there is a difference between responsibility and accountability. Accountability falls mostly on the shoulders of business leadership. If executed well, this accountability also trickles down to each employee.

Organizations should have a privacy guide or policies in place that comply with the law. That organization’s specific business process owners are tasked with running these policies. Some organizations have a data protection offer (DPO) to protect data and develop and implement policies and processes.

Is There an International Law that Protects all Data?

No. However, the General Data Protection Regulation (GDPR) mandated by the European Union is seen as a benchmark by many nations. In the U.S., data privacy laws differ in each state.

What is “Personal Data,” and What Does it Mean to “Process” it?

Personal data includes any data that can be used to identify an individual, including information that can be linked together to identify a person, like a salary slip, for example. Any action on data is considered processing, including storing, transferring, pseudonymization, changing, and copying.

What is a Data Protection Impact Assessment?

This tool is used to identify and reduce the privacy risks in any given project, program, or organization. It is used to record the management of privacy risks at different points in time in a project’s, program’s, or organization’s life cycle. Any initiative that requires the processing of personal data should always have a data protection impact assessment.

What’s the Best Way to Manage Data Security and Privacy?

Having a strong data security and privacy practice includes having robust policies, processes, and tools in place to help manage requirements. Employees should be regularly communicated with about training or changes that may affect them. Having the technology and tools in place to automatically identify sensitive data across the enterprise, protect that data, and scale across teams can help businesses adapt quickly and ensure compliance.