66 matches found
Addressing Data Across Borders for the GDPR
Most enterprises today do business across the globe, have databases in multiple countries and DBAs or users in different regions who have access to those databases. With GDPR mandating privacy requirements for personal data of European Union EU residents and visitors, it is important for an...
Uncover Sensitive Data with the Classifier Tool
Understanding what sensitive data resides in your enterprise database is a critical step in securing your data. Imperva offers Classifier, a free data classification tool that allows you to quickly uncover sensitive data in your database. Classifier contains over 250 search rules for popular...
Is Your Security Team Setup To Fail?
The ingredients for strong cybersecurity aren’t a secret. In fact, they haven’t changed significantly over the past 20 years—the ingredients are available to almost every organization out there. On the surface, doing security isn’t that hard: | Patch quickly and frequently. Use reasonable securit...
Database Activity Monitoring: A Do’s and Don’ts Checklist for DBAs
In a previous post, we looked at the limitations of native audit, the free tool often used by database administrators DBAs for logging database activity. While it has its appeal—it’s already part of the database server and does not require additional cost for third-party appliances or...
Top 3 Focus Areas that can help you in Data Loss Prevention
One of the most intimidating issues that gives nightmares to IT teams across organizations is data breaches or data loss. Typically, data loss happens when security is compromised and corporate sensitive data is accessed. It might fall under any of these categories: Unauthorized, intentional or...
Information Governance: Get Data Classification Right First
Data classification is one of the most crucial elements of an effective information governance process--yet its also one that many companies fail to implement well. In its simplest terms, data classification is the process of categorizing data based on its level of sensitivity. When done properly...