As the name implies, dynamic data masking actually masks data. Just as protective masks have obscured people’s smiles (and frowns) during the pandemic, this data-protection method covers sensitive data. People who shouldn’t see the data won’t see it.

Tokenization hides data. Sometimes data must be hidden in order to satisfy compliance requirements and customers’ expectations for data privacy. A form of data protection, tokenization conceals sensitive data elements so should an organization’s data be breached, the visible tokenized data—essentially a replacement for the valuable data—means nothing.A hacker will only see characters that are meaningless.

Spelling, let alone pronouncing, “anonymization” and “pseudonymization” is just the beginning. Vocabulary, however, will be the least of the challenges for organizations that ignore the business value created through the use of these data protection methods. Anonymization and pseudonymization are two ways to de-identify sensitive data, and each has a distinct purpose in the tightrope balance between fully using and fully protecting data and data privacy.

If you work in a financial organization that operates in the US, you’ll have heard the phrases Nacha and ACH. Together, these entities affect many of the transactions you’re responsible for — and dictate how, why, and when your business accesses sensitive data. But, what exactly are they? And, what’s the difference between the two? Read on to find out.

Only those hiding from the news, prospects, and customers can miss the data security and privacy challenges that are occurring. More businesses are relying on data analytics (garnered from data collection) for more and improved service and product offerings. More individuals want data privacy and security. More nations want their citizens protected from corporate tactics that rely on mining and scraping personal data. More customers want tailored experiences that only come through data analytics.

Enterprises require multiple tools for cyber defense, so network and information security staff often end up managing a patchwork of solutions, a blend of legacy and new technologies. If they find and deploy solutions that solve several business and security problems at once, they can reduce costs, logistics, and headaches while helping the business grow and innovate.

Low-code and no-code technologies are being embraced across the world, but there’s one LCNC platform that stands out, with significant growth and enterprise adoption – and that’s Microsoft’s Power Platform.

Are you worried about rolling out Microsoft Teams? Are you concerned that users may accidentally share the wrong information with Team members? Your concern is justified with 56% of insider incidents caused by employee or contractor negligence at a cost of $484,931 per incident (2022 Ponemon Cost of Insider Threats Global Report).

We create massive amounts of data daily, from the exercise stats compiled by our wearable devices to smart meters used at our homes to reduce expense consumption to maintenance statistics of critical systems in industrial settings. If data creation continues at its present rate, more than a yottabyte (a million trillion megabytes) will likely be generated annually by 2030.

The concept of least privileged access has been around for a while and is widely understood. However, overprivileged users with more rights than necessary, such as administrators, continue to be a common source of breaches. It’s such a concern that the restriction of administrative privileges is included as one of the Australian Government’s Essential Eight Maturity Model to mitigate cybersecurity incidents.