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K2view Named a Visionary in the 2023 Gartner MQ for Data Integration Tools
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CIOCoverage: K2view 1 of 10 Best Data Integration Companies in 2023
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K2view Rated "Visionary" in Gartner Magic Quadrant for Data Integration Tools 2023
Gartner names K2view 1 of 3 Visionaries in its latest Magic Quadrant for Data Integration Tools.
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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 2023
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 Masking
May 14, 2023
Data Anonymization vs Data Masking: Definitions/Use Cases
Data anonymization removes classified, personal, or sensitive information from datasets, while data masking obscures 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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