What is data privacy? Definition, importance, and regulations in 2026

With rising cyber threats, evolving AI technology, and new privacy laws, knowing how to protect sensitive data for your business has never been more important. This guide breaks down what data privacy means, why it matters for your business, and how to stay compliant.

Jump to:

• Data privacy definition
• Why data privacy is important
• Key factors of data privacy
• Types of data covered under data privacy
• Technologies for data privacy
• Data privacy vs. data security vs. data protection
• Examples of data privacy
• Challenges of data privacy
• Data privacy laws and regulations in 2026
• Is data privacy illegal?
• Conclusion

Data privacy definition

Data privacy, or information privacy, is the principle that an individual should have control over how their personal and sensitive data is handled. It gives the person the right to understand and decide:

• What data is collected about them
• How it’s processed and stored
• Who has access to it
• Why it’s being used

In a business setting, this applies to your customers, employees, and partners, making it your job to handle their information responsibly and transparently.

Why data privacy is important

As a small business, how you protect personal information can directly impact your reputation, bottom line, and ability to grow. Let’s look at some of the key reasons why data privacy is important:

Builds customer trust and loyalty

When customers share their personal information with you—whether it’s an email address, payment details, or purchase history—they expect you to protect it. If you’re transparent about how you use their data and take real steps to keep it safe, you send a clear message: you value their privacy as much as they do.

According to McKinsey & Company, 87% of consumers said they would stop doing business with a company if they had concerns about its data privacy practices.

Reduces legal and financial risks

Global regulations like the General Data Protection Regulation (GDPR) in the EU, the California Consumer Privacy Act (CCPA) in the U.S., and industry-specific laws like HIPAA for healthcare impose strict rules and steep fines for mishandling personal data.

For example, the maximum fines are:

• GDPR: Up to €20 million or 4% of global annual revenue
• CCPA: Up to $7,988 per violation
• HIPAA: Up to $71,162 per violation

However, if you adopt strong privacy practices, your business can avoid these serious penalties.

Protects against fraud and data breaches

Keeping data private is one of the best ways to protect your small business from data security threats. When personal or financial details get into the wrong hands, cybercriminals can use them for identity theft, fake accounts, or outright theft. That can mean lost money, legal trouble, and a serious hit to your reputation.

According to IBM’s Cost of a Data Breach Report 2025, the global average cost of a data breach is $4.4 million. Additionally, 43% of cyberattacks target small businesses, and 60% of those affected close within six months, according to a report from the NIST.

Simple steps like encrypting data, using multi-factor authentication, keeping software up to date, and giving employees access only to what they need can help protect your customers, your team, and your business’s future.

Improved data quality and operational efficiency

Strong privacy practices mean you collect information ethically, with consent, and from trustworthy sources. That reduces the chances of ending up with fake, outdated, or spammy entries. Privacy rules also encourage clear, standardized processes for handling data, which helps keep records accurate and consistent.

In fact, according to the 2025 Intuit QuickBooks Accountant Technology Survey, 98% of accountants say automation has improved data accuracy, and 38% report that standardized technology boosts data security and control.

Also, when your data is accurate and well-managed, you spend less time fixing errors or scrambling to meet audit requirements. Automated privacy tools can speed up tasks like reporting, approvals, and secure sharing.

In the QuickBooks survey, 97% of accountants say automation improves workflow efficiency, and 95% say it saves staff valuable time. That means you can focus more energy on serving customers and growing your business, rather than putting out fires after a data mishap.

Key factors of data privacy

Businesses can use various data privacy frameworks to help structure their data policies, including ones from the U.S. Federal Trade Commission (FTC), Fair Information Practice Principles (FIPPs), and the NIST Privacy Framework. Some of the general key principles include:

Consent

Ask before you collect or use someone’s personal information. Make sure consent is clear, specific, and easy to change if they change their mind.

Purpose limitation

Collect and use the information for the reasons you explained up front. If you want to use it for something new (like sending marketing emails), you’ll need to let them know and, in most cases, get new consent.

Data minimization

Only gather the information you truly need for your business activities. Holding onto unnecessary data can increase storage costs, regulatory risk, and exposure in case of a breach.

Transparency

Be open about your data practices. Share clear, accessible notices that explain what information you collect, why you collect it, how it’s stored, and who it’s shared with.

Security measures

Use safeguards—e.g., encryption, access controls, and regular security audits—to protect data from unauthorized access, loss, or theft.

Accountability

You must take responsibility for complying with privacy laws and principles and be able to prove it. This includes assigning roles for data stewardship, monitoring compliance, keeping detailed records, and providing ongoing privacy training for employees and independent contractors.

Types of data covered under data privacy

When it comes to data privacy, there's a wide variety of information that falls under its umbrella. Here's a breakdown of the key types of data you need to understand:

Personally identifiable information (PII)

This is any detail that can identify someone, either on its own or combined with other information. Common examples include:

• Names
• Home addresses
• Email addresses
• Phone numbers
• Social Security numbers
• IP addresses
• Job or school record

Sensitive or special categories of personal data

This refers to extra-private information that could cause harm or discrimination if mishandled. Because of that, laws often require stronger protections. Examples include:

• Race or ethnic background
• Political opinions
• Religion
• Trade union membership
• Genetic or biometric data
• Health information
• Sexual orientation

Health data

Information about someone’s physical or mental health typically comes with its own strict protections under laws like HIPAA in the U.S. Examples include:

• Medical records
• Diagnoses
• Prescriptions
• Reproductive health details
• Biometric identifiers

Behavioral and technical data

This category covers information about how people behave online or how their devices interact. IT can paint a detailed picture of someone’s habits, preferences, and daily life. Examples include:

• Browsing history
• Cookies
• App usage logs
• Geolocation data
• Device identifiers

Technologies for data privacy

One of the cornerstones of data privacy is using technology to help keep sensitive information secure, private, and compliant. Here are some of the most effective options for small businesses:

Encryption

Encryption is the process of converting readable plain text into an encoded format to hide sensitive information from unauthorized users. Only someone with the correct decryption key can turn it back into its original form. It protects information at rest (stored on a device or server) or in transit (moving between systems), and advanced methods like homomorphic encryption let you use data without exposing it.

Why it matters: Even if someone steals the data, hackers can’t read or use it without the decryption key.

Example: A bookkeeping business stores client tax returns in QuickBooks. Because QuickBooks encrypts files both in storage and when sent, those returns stay protected, even if someone manages to hack into the office network.

Anonymization and data masking

Anonymization removes all identifiable information from a dataset so no individual can be linked to it. Data masking swaps sensitive details, like names or account numbers, with fake but realistic values, preserving the format for testing or training purposes.

Why it matters: Both methods reduce the risk of exposing sensitive data during internal projects, training, or vendor collaboration. They allow you to work with data for analytics or testing without risking customer or employee privacy.

Example: A marketing agency creates training datasets for new employees by masking client names, phone numbers, and addresses. The data still looks real enough for practice, but no actual personal information is revealed.

Secure backups

A secure backup is a copy of your data stored safely, usually in an encrypted cloud or off-site location, so it can be restored if the original is lost, damaged, or stolen.

Why it matters: Backups protect you from data loss caused by ransomware, system crashes, accidental deletion, or disasters. Encrypting backups adds another layer of protection in case the storage location is compromised.

Example: A boutique design studio backs up its financial records using accounting software, which automatically stores encrypted backups on secure servers. This way, even if the business’s local computer crashes, they can instantly restore all invoices, reports, and transaction history.

Access controls

Access controls manage who can view, edit, or delete certain information. This is typically done using role-based permissions, where each user has access only to what they need to do their job. Access controls can also include multi-factor authentication (MFA), which requires users to confirm their identity in more than one way—such as entering a password and then a code sent to their phone.

Why it matters: Limiting access helps prevent accidental leaks or intentional misuse of sensitive data. It also supports compliance by making sure only authorized personnel handle private information.

Example: A dental clinic’s software lets receptionists view appointment times but blocks them from seeing patients’ medical histories, which are only accessible to the dentists and assistants.

Secure Wi-Fi and VPNs

Secure Wi-Fi means using a protected, encrypted wireless network (ideally with WPA3 security) to keep outsiders from intercepting your internet traffic. A virtual private network (VPN) adds an extra lock by creating a private, encrypted connection between your device and the internet, even if you’re on public Wi-Fi.

Why it matters: Open or poorly protected Wi-Fi networks are an open invitation for hackers. They can snoop on logins, credit card numbers, and other sensitive info. With secure Wi-Fi and a VPN, your business’s online activity stays private—whether you’re in the office, at home, or working from a coffee shop.

Example: A small consulting firm keeps its office Wi-Fi locked down with a strong password and WPA3 encryption. When employees work from home or on the road, they log in to the company VPN before opening client files

Data privacy vs. data security vs. data protection

Data privacy, data security, and data protection might sound similar, but each term has differences you should know about. Let’s break down what each one means and how they work together.

Data privacy

Data privacy is all about how personal information is collected, used, and shared. It’s making sure you have permission to use someone’s data and that you’re being transparent about what you’re doing with it.

Data security

Data security focuses on the technical safeguards that keep data safe from hackers, breaches, or accidental loss. Think encryption, multi-factor authentication, firewalls, secure backups, and the systems that physically or digitally shield your information.

Data protection

Data protection is the bigger picture. It combines privacy rules with security measures to make sure information is kept safe and used the right way, from the moment it’s collected to the moment it’s deleted.

Examples of data privacy

Not sure what data privacy looks like in the real world? These examples break it down into simple scenarios so you can see how laws and best practices apply to everyday business operations.

Collecting customer emails for marketing

A small business asks customers to join its newsletter by filling out an online form. The sign-up page explains how the email address will be used (e.g., “We’ll send you weekly updates and promotions”) and includes an easy unsubscribe link in every message. This follows the GDPR and CAN-SPAM Act’s requirements for clear opt-outs and informed consent.

Processing online payments

An e-commerce store uses secure payment gateways to handle credit card details, and never stores raw card numbers on its own servers. The business is complying with the Payment Card Industry Data Security Standard (PCI DSS) and FTC best practices for safeguarding financial data.

Limiting employee access to HR records

An HR department uses role-based access control so only authorized HR staff can see payroll records or performance reviews. Employees in other departments can’t access this data. In this example, HR is following NIST guidance to minimize insider threats by limiting unnecessary access.

Secure client communication

A law firm sends sensitive legal documents through an encrypted client portal instead of email. Clients log in with multi-factor authentication before accessing files. The law firm is complying with the American Bar Association (ABA) cybersecurity guidance and FTC recommendations for secure communications.

Challenges of data privacy

Whether you're sharing your data or running a business, there are challenges to getting privacy right. Let’s break down some hurdles users and business might go through.

Challenges from a user perspective

Take a look at some challenges that users may face:

• Hard-to-understand privacy policies: Many privacy policies are long, full of legal terms, and hard to navigate, which makes it difficult to give truly informed consent.
• Limited control over personal data: Even with privacy laws, it can be hard for users to see, correct, or delete their information. Data may be spread across multiple platforms, and the process for submitting requests can vary widely between companies.
• AI-related privacy concerns: As more companies use generative artificial intelligence (AI) and advanced analytics, 81% believe their data will be used in ways that make them uncomfortable, according to the Pew Research Center.
• Sensitive data at greater risk: More businesses are collecting biometric and behavioral data (like fingerprints, facial scans, or browsing patterns). If stolen, this information can’t be reset like a password, which could lead to permanent privacy risks.

Challenges from a business perspective

The challenges businesses may encounter include:

• Changing privacy laws: Data privacy laws and regulations can constantly change. For businesses, especially small ones, keeping pace and staying compliant can feel overwhelming.
• Reducing mistakes from human error: Simple errors like clicking a phishing link or sending the wrong file can lead to big problems. Ongoing training helps, but smaller businesses may struggle to find the time and budget for it.
• Third-party vulnerabilities: Data breaches can happen when outside providers don’t meet your security standards. That’s why businesses need ongoing risk assessments and strict contract terms to make sure partners are following privacy rules.
• The ethics of AI: AI can be a powerful tool for efficiency and insights, but it also raises tough privacy questions. How do you get clear consent? How do you make sure you’re only collecting the data you really need? How do you avoid bias in automated decisions? It's an evolving new world that businesses of all sizes are trying to figure out.

Data privacy laws and regulations in 2025

In 2025, eight U.S. states rolled out brand-new consumer data privacy laws, giving people more control over their personal information and adding fresh compliance rules for businesses. Here’s the lineup:

Delaware Personal Data Privacy Act (DPDPA)

The Delaware Personal Data Privacy Act (DPDPA) gives residents the right to see, correct, and delete the personal information businesses hold about them. It applies to companies handling data from at least 35,000 Delawareans a year—or 10,000 if the company makes more than 20% of its revenue from selling personal data. The law also requires strict consent for using sensitive data and adds extra safeguards for minors.

Iowa Consumer Data Protection Act (ICDPA)

The Iowa Consumer Data Protection Act (ICDPA) lets consumers access and delete their personal data and opt out of targeted ads and data sales. It covers companies handling data for over 100,000 Iowa residents, or 25,000 if data sales are their main revenue source. Nonprofits and schools are not included under this law.

Nebraska Data Privacy Act (NDPA)

The Nebraska Data Privacy Act (NDPA) gives people the right to see, fix, delete, and opt out of how their personal information is used. It broadly applies to most companies working with Nebraskan data, with many pointing to a 50,000-resident threshold. It requires businesses to get clear consent before processing sensitive data and puts extra rules in place for protecting minors’ information.

New Hampshire SB 255 Privacy Act (NHPA)

With the New Hampshire SB 255 Privacy Act (NHPA), residents now have rights to know, access, correct, and delete their data, as well as opt out of targeted ads and data sales. The law applies to companies handling information from 35,000+ residents, or 10,000 if they make 25% or more of revenue from selling data. It also adds stricter transparency requirements and risk assessments for businesses.

New Jersey SB 332 Data Protection Act (NJDPA)

The New Jersey SB 332 Data Protection Act (NJDPA) lets residents access, correct, and delete their data, and opt out of targeted ads or sales. It applies to companies handling 100,000+ residents’ data, or 25,000 if data sales are a big revenue driver. The law also requires clear privacy notices and stronger data protection practices from businesses.

Tennessee Information Protection Act (TIPA)

The Tennessee Information Protection Act (TIPA) sets strong privacy requirements, like clear notices, consent for sensitive data, and opt-outs for targeted ads and sales. It applies to companies processing data for at least 175,000 Tennesseans, or 25,000 if 50%+ of revenue comes from data sales and they earn at least $25 million annually. Businesses that follow NIST-aligned privacy frameworks can use that as a legal defense.

Minnesota Consumer Data Privacy Act (MCDPA)

The Minnesota Consumer Data Privacy Act (MCDPA) gives residents broad rights to access, delete, correct, and opt out of personal data use for ads or sales. It applies to businesses processing data for over 100,000 residents a year, or 25,000 if data sales make up more than 25% of revenue. The law requires privacy assessments and detailed disclosures, though smaller businesses are exempt.

Maryland Online Data

The Maryland Online Data Privacy Act (MODPA) lets residents access, correct, delete, and opt out of their personal information being used for advertising. It covers companies handling data for 35,000 or more residents a year, or 10,000 if 20%+ of their revenue comes from selling data. The law emphasizes data minimization, strong security safeguards, and extra protections for sensitive data and minors.

These laws follow the footsteps of the CCPA and similar regulations in Virginia, Colorado, Utah, and Connecticut. While each law contains unique details, they share core principles and rights for consumers. The table below explores the common threads among these laws:

Is data privacy illegal?

No, data privacy is the opposite of illegal. Laws like the GDPR in the EU and the state regulations mentioned above require businesses to protect people’s personal information.

What can be illegal is violating data privacy. Depending on the law, penalties can include fines, lawsuits, and even criminal charges in extreme cases.

Conclusion

Protecting personal data is a business necessity. Companies that take privacy seriously avoid costly legal trouble, prevent damaging breaches, and earn the kind of trust that competitors can’t buy. The more you invest in privacy, the more you invest in your reputation and future success.

If you’re looking for accounting software with strong data protection features, QuickBooks Online is your answer. QuickBooks. It uses bank-level encryption, firewall-protected servers, and secure cloud storage to keep your financial data safe, so you can focus on running your business with confidence.