The synthetic tabular data generation software market is poised for exponential growth driven by the increasing need for privacy-preserving data, AI/ML advancements, cloud adoption, and data security.

Before implementing a project of any kind, we ask which factors we should keep in mind to ensure project success. To be clear, the question isn't what we should do; I'm pretty sure everyone's got a ...

Public, private and government organizations are now, more than ever, concerned about how to implement data privacy, given that many countries have begun regulating by creating national standards and ...

Varying standards and new technology that makes re-identifying data easier is putting pressure on companies to "get serious" about their data anonymization efforts. While lawyers chase the patchwork ...

Back in March 2007, Google promised to begin anonymizing log data to better protect user privacy. That kicked off a wave of privacy pledges from competing search engines. In addition, by agreeing to ...

The era of “big data” has brought with it an incredible wealth of massive new datasets cataloging global society. Making possible this deluge of publicly accessible data is the concept of ...

From law-enforcement operations, witness protection, and privacy concerns caused by deepfakes, the ability to anonymize speech is sought after by both government agencies and individuals concerned ...

Jeff Jonas, the chief scientist and distinguished engineer at IBM’s entity analytic solutions group, has developed a means of sharing corporate data without revealing what that data contains. This ...

Collecting network traffic traces from deployed networks is one of the basic steps in understanding communication networks. These traces may be used for network management, traffic engineering, packet ...

Data is all around us, to the point where it can potentially be unnerving. But Jiaming Xu, assistant professor in decision sciences at Duke University’s Fuqua School of Business, stressed that ...