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Your approach to Guidewire data masking could be inhibiting innovation at your company. Insurance companies have been racing to accelerate digital transformation. But I’ve watched many neglect to properly protect sensitive information in their environments. The risk is real and immediate. Every development cycle, QA test, and sandbox refresh becomes a potential compliance violation. Or worse, it could lead to security gaps for bad actors to exploit.

With data continuously growing in complexity and quantity, ensuring data security is more important than ever when choosing to buy a business intelligence (BI) solution. From data protection to data governance, having a BI platform that enables you to control, audit, encrypt and manage user access and usage of sensitive data is essential.

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.

2023 was a rough year for data security. A quick look at the biggest hacks of this year reveals some very disturbing information and trends. There were many specific hacks and data breaches that malicious actors were able to accomplish. Cybercrime skyrocketed in 2023. The rise in cybercrime was fueled largely by the continued COVID-19 pandemic and the work-from-home measures taken by countless businesses. According to one report, cybercrime increased 600%.

The digital transformation of today’s data industry is a result of the dramatic increase in data generation and consumption worldwide. The only way for organizations to keep up with the continuously growing and changing data is to prioritize data as an asset. Today, organizations are beginning to recognize the potential of their business data and are working on fostering a culture that prioritizes data and leverages it to drive their decision-making. But putting data first is not enough.

Data security is an important priority for every organization that handles customer or user data, especially those that fall under data privacy and protection laws such as the EU’s General Data Protection Regulation (GDPR). Large volumes of personal data flow in and out of companies and their systems every day, and the threat of data breaches looms over these operations. How can organizations use their data to power critical operations without running afoul of regulations or privacy concerns?

Moving data from an organization’s systems into data warehouses and data lakes are essential to fuel business intelligence and analytics tools. These insights guide businesses into making decisions backed by data, allowing them to choose actions that have the best chance of positive growth. However, getting data from the source systems to these data stores can be a harrowing process.

Businesses are now storing more personal data on their customers than ever before—from names, addresses, and credit card numbers to such as IP addresses and browsing habits. Understandably, many consumers are speaking up and pushing back on how these businesses use their data—including an insistence on the “right to data portability.” Data portability is an essential issue for companies that must comply with regulations such as the GDPR and CCPA.

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 processors handle an abundance of data — including personal information about individuals. As the collection and use of data become more widespread, governments continue to enact laws that protect personally identifiable information (PII). Failing to comply with such laws means risking serious fines and penalties, and damaging public trust. Masking PII through pseudonymization is one way to protect it.