Data Security


5 Reasons You Should Mask PII

If personally identifiable information (PII) falls into the wrong hands, it could have devastating consequences for both you and the affected individuals. But what if you could transform that information so that it would be useless to any attacker? That’s exactly what PII masking seeks to do. So what is PII data masking exactly, and how does PII masking help safeguard your sensitive and confidential information from PII data breaches? Keep reading for all the answers.


Data Privacy: Are You Making These Mistakes?

Organizations have access to massive amounts of data, but they don’t always give enough thought to how they’re going to keep it private and protected. Dozens of data privacy regulations are in effect or in development globally, and the average consumer is learning more about how much of their data gets collected and used by businesses. For this reason, companies need to focus on keeping data safe while it's under their control, but it’s easy to make mistakes.


6 Mistakes to Avoid When Handling PII

Personally identifiable information, or PII, is sensitive information that can identify an individual. Industry or data protection laws often regulate this type of data, requiring that organizations handle PII according to specific practices. It’s all too easy to make mistakes when working with PII, so we've highlighted six common scenarios to look out for.


A Guide to Data Privacy and Data Protection

Organizations collect and use personal data for a variety of purposes, often without considering the impact on data privacy. Individuals are increasingly more aware of how their data is being used and the lack of say they have over the process. Data privacy and protection regulations are in place around the world to protect consumers and stop their personal information from being misused.


BI Compliance: Can a Restructure Deliver Enhanced Data Privacy?

Every data-driven business is terrified of the prospect of a data breach. Exposing sensitive data could mean reputational damage, loss of clients, and heavy fines under emerging privacy laws. But every data-driven business also wants to make use of its data. Business intelligence (BI) platforms allow anyone to build complex and detailed dashboards that help them understand the organization’s current state. How do you resolve this tension?


PII Substitution May Be the Future of Data Privacy

Unfortunately, most of us have had our sensitive data or personal information compromised at one point or another. Whether the leaked data involves credit cards, a bank account number, a social security number, or an email address, nearly everyone has been a victim of a third-party data breach. In 2020, over 155 million people in the U.S. — nearly half the country's population — experienced unauthorized data exposure.


The Ultimate PII Checklist

Data breaches can happen to any company, regardless of size or technical resources. In April 2021, Facebook’s reputation took a massive hit when a data breach impacted more than half a billion users. The worst kind of data breach involves personally identifiable information (PII). PII is essentially any data that contains sensitive details about real people, such as customers and employees.


What is Data Privacy-and Why Is It Important?

You've probably heard the expression "data is the new oil." Well, data today is fueling an increasing number of businesses. Personalized customer experiences, automated marketing messaging, and science-driven insights all depend on the quality and volume of your information. Companies are eager to gather data, and understandably so. Legislators, on the other hand, are keen to protect the privacy and safety of individuals.


Healthcare cybersecurity: Our 6-step plan to secure healthcare data

The HIPAA Journal reported that “2020 was the worst ever year for healthcare industry data breaches.” In the US alone, there were 642 reported data breaches in which the number of records stolen exceeded 500, and in total, nearly 29.3 million healthcare records were exposed.