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.

The results are in, and Protegrity has officially been named the “Data Security Solution of the Year” by the 2021 Data Breakthrough Awards. Data Breakthrough is an independent market intelligence organization that recognizes the top companies, technologies, and products in the global data technology market today.

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.

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.

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.

Companies accumulate massive amounts of data, whether it is intellectual property or customer and employee information. Data is a critical asset: it’s undeniable. If your business users have appropriate access to data, they can perform their jobs more efficiently and effectively, and they can analyze the data to derive key business intelligence that drives better business decisions. But if data isn’t protected from breaches, it can also be a liability.

Cyberattack prevention and remediation cost time and money. Are there ways to get a better return on your cybersecurity investments? What business processes or technologies will not only reduce those cyber risks but also save you time or money? This piece addresses those questions with a focus on data breaches.

Without cybersecurity, your organization is vulnerable on many fronts, making it a crucial part of your business operations. But let’s be honest. Everyone knows that cybersecurity can be a cost center and can slow down business processes. That’s why it is important to select and implement data security solutions. These solutions should not only protect your organization but also enable faster, more effective operations, and strategic planning to achieve quarterly and YoY goals.

Despite the increase in cloud adoption, many organizations are still hesitant to move their confidential and highly sensitive data to the cloud. It’s not uncommon for companies to have concerns about being able to maintain the privacy, integrity, and security of their data when they migrate to the cloud or leverage cloud services. This is especially true for organizations that operate in highly regulated industries, such as healthcare, financial services, insurance, and the public sector.