K2view has been recognized by CIOCoverage magazine as 1 of the top 10 data integration companies to watch in 2023. Read on to learn why.
data masking
Understanding Data Obfuscation: What You Need to Know
Hiding in plain sight: Data obfuscation disguises sensitive data by hiding its true meaning to protect it from unauthorized access, breaches, or misuse.
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.
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 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.
Entity-based Data Masking Technology
Entity-based data masking technology allows data security teams to safeguard PII easily, while ensuring relational consistency and contextual integrity.
Choosing the Right Data Masking Solution: A Requirements Guide
With so many data masking solutions out there, it's hard to know which is best for you. Understanding the use cases, risks, and features helps you decide.
Unstructured Data Masking: More Effective via Business Entities
Conventional data masking tools can't process or analyze unstructured data because there's no predefined data model. Modern entity-based data masking can.
Matching Data Masking Methods with Use Cases
Different use cases call for different data masking methods. Learn about some of the most important data masking methods, as well as when to use each.
5 Real-World Data Masking Examples
Data masking is the best way to protect personal data, while ensuring its functionality. Learn about the most common data masking examples and use cases.
How to Choose the Right Data Masking Software
What are the most essential features to look for in data masking software? Read about the use cases, capabilities, vendors, and approaches to consider.
Data Tokenization vs Masking – Why, Where, and When
Data tokenization and masking protect personal information and enable compliance. Learn where and when to employ each – and how business entities can help....
Top 6 Reasons for Masking Data
Masking data, the process of anonymizing personal information with non-sensitive values, is key to ensuring data security and compliancy with privacy laws.
Top 5 Data Masking Vendors for 2023
With so many data masking vendors in the industry, finding the right one for your company can be challenging. Here’s what to look for in your evaluations.
Aim for the Highest Data Masking Standard – Here’s How
For global enterprises, complying with privacy laws is a daunting task. Learn how to simplify compliance, by aiming for the highest data masking standard.
What is Dynamic Data Masking, and Why You Should Care
Dynamic data masking is a data masking technique that limits the exposure of personal or sensitive data by anonymizing it for all non-authorized users..
Buyer’s Checklist: Types of Data Masking and Key Feature Requirements
When evaluating a data masking tool, make sure it handles all types of data masking, and includes certain key features. Read on for the complete checklist, and...
Synthetic Test Data vs Test Data Masking – What’s Best, and Why
To support continuous development, most enterprises rely on test data masking. But more and more are realizing the value in synthetic test data. Learn why.
Data Masking vs Encryption: What You Need to Know
Data masking vs encryption: Here’s a rundown on how they both work, what they’re used for, and how to determine the best solution for your business.
The 7 Most Effective Data Masking Techniques
For many companies, data masking is the best way to ensure data security and compliance, but which techniques are best for your business?
Data Masking Best Practices
Assure data protection with 5 data masking best practices: Identify PII, choose the right technique, test it, secure it, and ensure relational integrity. Table...
Data Masking vs Tokenization – Where and When to Use Which
Data masking and tokenization are used to protect sensitive data. Discover where and when to use each – and how a business entity approach optimizes both....
