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June 29, 2023

Complying with Today’s Data Anonymization Standards

Data anonymization standards are guidelines that ensure that personal or sensitive information cannot be re-identified, to protect an individual’s privacy.

Data Anonymization

June 27, 2023

Top 5 Data Anonymization Companies in 2024

Data anonymization hides or removes PII from datasets to comply with privacy laws. Here’s what look out for when evaluating different vendors and tools.

Data Anonymization

June 26, 2023

The Best Types of Data Anonymization for My Organization

The best type of data anonymization – generalization, suppression, pseudonymization, data swapping, or perturbation – depends on the needs of the company.

Data Anonymization

June 7, 2023

Pseudonymization vs Encryption: Understanding the Differences

Pseudonymization and encryption are both approved techniques for protecting data privacy, however where the former anonymizes data, the latter locks it up.

Data Anonymization

June 4, 2023

Data Anonymization vs Encryption: What You Need to Know

Data anonymization and encryption are 2 separate approaches to protecting personal information and complying with data privacy laws, like GDPR and CPRA.

Data Anonymization

June 1, 2023

Confused by De-Identification vs Pseudonymization?

Confusing de-identification with pseudonymization can put personal or sensitive data at risk, create a false sense of security, and endanger compliance.

Data Anonymization

May 14, 2023

Data Anonymization vs Data Masking: Definitions and Use Cases

Data anonymization erases classified, personal, or sensitive information from datasets, while data masking replaces confidential data with altered values.

Data Masking

May 14, 2023

What is Data De-Identification, and Why do I Need it?

Data de-identification is a data masking method that severs the connection between data and the person associated with it, to ensure privacy compliance.

Data Anonymization

May 2, 2023

Do I Really Have to Anonymize Data?

Companies anonymize data to ensure that private information remains that way. How important is it to anonymize data, and what happens if you don’t?

Data Anonymization

April 23, 2023

The L Diversity Data Anonymization Model: Extending K Anonymity

L Diversity reduces the risk of re-identification of sensitive data by ensuring that individual records in a dataset are not too similar to each another.

Data Anonymization

April 18, 2023

Pseudonymization vs Anonymization: Which to Use When

Data privacy laws have made pseudonymization or anonymization a requirement for data processing, access, and security. But which is best for your needs?

Data Anonymization

April 18, 2023

The Advantages and Disadvantages of Pseudonymized Data

Pseudonymized data replaces PII with artificial identifiers that deter unauthorized access or disclosure. Examine the pros and cons of this technique here.

Data Anonymization

April 18, 2023

Re-Identification of Anonymized Data: What You Need to Know

Re-identification of anonymized data occurs when an individual can be identified by linking masked data with public records or combined personal attributes.

Data Anonymization

April 16, 2023

Data Anonymization Techniques: 12 Keys to Compliance

Data anonymization techniques modify data so that it can’t be linked to a specific person, while preserving its analytical and operational functionality.

Data Anonymization

April 3, 2023

What is K Anonymity and Why Data Pros Care

K anonymity is a data anonymization technique used to protect individual privacy in a dataset, involving PII generalization, masking, or pseudonymization.

Data Anonymization

March 21, 2023

Combining Productivity with Privacy through Anonymization of Data

Anonymization of data is the process of preserving privacy by deleting or encoding identifiers that link people to their sensitive information in datasets.

Data Anonymization

March 16, 2023

What is Pseudonymization?

Pseudonymization substitutes codes for personally identifiable information in a dataset, while maintaining data functionality for analytics and operations.

Data Anonymization

March 8, 2023

How to Choose the Right Data Anonymization Tools

Data anonymization tools safeguard the privacy of a dataset’s subjects. Select the best tool for your organization according on your data anonymization use...

Data Anonymization

February 26, 2023

Advantages and Disadvantages of Anonymized Data

What is anonymized data, and why do enterprises require it? Learn about its key types, benefits, challenges, and a new approach based on business entities.

Data Anonymization

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K2VIEW BLOG

AI Data Fusion – New from K2view

data anonymization

Explore more content

Complying with Today’s Data Anonymization Standards

Top 5 Data Anonymization Companies in 2024

The Best Types of Data Anonymization for My Organization

Pseudonymization vs Encryption: Understanding the Differences

Data Anonymization vs Encryption: What You Need to Know

Confused by De-Identification vs Pseudonymization?

Data Anonymization vs Data Masking: Definitions and Use Cases

What is Data De-Identification, and Why do I Need it?

Do I Really Have to Anonymize Data?

The L Diversity Data Anonymization Model: Extending K Anonymity

Pseudonymization vs Anonymization: Which to Use When

The Advantages and Disadvantages of Pseudonymized Data

Re-Identification of Anonymized Data: What You Need to Know

Data Anonymization Techniques: 12 Keys to Compliance

What is K Anonymity and Why Data Pros Care

Combining Productivity with Privacy through Anonymization of Data

What is Pseudonymization?

How to Choose the Right Data Anonymization Tools

Advantages and Disadvantages of Anonymized Data