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New privacy laws, such as the EU’s General Data Protection Regulation, are forcing companies to change how they manage data security. But most companies have either neglected data security or simply don’t know how to improve their data protection solutions before being penalized for noncompliance with modern privacy standards set by their countries.

With a digital economy comes increased risk of data breaches at companies. Governments are continuously writing and updating new data privacy standards for companies to abide by in order to protect people’s privacy. Ubiquitous emerging technologies of engagement used by people to access data and make transactions through mobile and web applications millions of times per day are creating a world of digital economies.

Fortunately, there are data security tools and processes for improving data security that companies around the world have access to, whether they require an test data privacy, application auditing, application testing or data masking solution. As the amount of personal information companies must keep track of multiply and the Big Data era becomes bigger, companies should take time to read about how they can update their current data protection solutions.

DevOps Test Data: Why Synthetic Is Wrong and Policy-Based Masking Is Right

By | November 17th, 2016|Agile Dev, App Performance, Code Quality, Data, DevOps, Featured, Security|

You can’t accelerate and scale DevOps unless you also accelerate and scale DevOps test data delivery. That’s why every DevOps leader should take a close look at Compuware’s Test Data Privacy solution.

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How to Strengthen Data Protection and Prevent Insider Data Breaches

By | October 18th, 2016|Agile Dev, App Performance, COBOL, Code Quality, DevOps, Featured, Security|

Without a good view of mainframe activity, what happens when an unauthorized user gets their hands on an authorized user’s credentials and gains unapproved access to sensitive mainframe applications or data?

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The GDPR Clock Is Ticking: Pseudonymization and Test Data Quality

By | June 16th, 2016|Data, Featured, GDPR Countdown, Security|

The end users of disguised data—the testers—in a test data privacy project typically have two objections to how pseudonymization affects test data quality. The first objection is easily handled, but the other must be delicately approached with the right solution.

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