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Reidentification Risk of Masked Datasets: Part 2
This article is a continuation of Reidentification Risk of Masked Datasets: Part I, where we discussed how organizations progressed from simple to sophisticated methods of data security, and
Reidentification Risk of Masked Datasets: Part 1
The following article is also hosted on Forbes Tech Council. Data masking, anonymization and pseudonymization aren’t new concepts. In fact, as the founder of a data security company, I’v
Data Security Challenges in Financial Service Industry
The industry most targeted by cybercriminals is the financial services industry. Because of the sheer volume of sensitive financial data carried by this industry, it serves as a hotspot for
Data Security Challenges in Healthcare Industry
The healthcare industry is constantly innovating, and has made significant improvements in technology over the last couple of years to enhance patient treatment. For example, the use of AI h
Test Data Management Best Practices
Do your test data environments put Production data at risk of exposure? Since test data environments usually require real-world data to tackle complex issues, issues that may not be replicat
Differences between Anonymization and Pseudonymization
Under the umbrella of various data protection methods are anonymization and pseudonymization. More often than not, these terms are used interchangeably. But with the introduction of laws suc