Delphix Masking Solution fills the Gap in Mainframe Security
As we turn the page on a new year, it's become painfully clear that we still face the threat of data breaches in 2017. 2016 could have easily been called "The Year of Data Breach," as major media companies, banks, health care providers--perhaps even the US presidential election–have fallen victim to high-profile hacks and attacks, with confidential information being stolen, manipulated, or otherwise exploited. Meanwhile, new and sweeping data privacy regulations such as the EU General Data Protection Regulation (GDPR) create further urgency to lock down sensitive data. GDPR sets strict privacy limits on any company doing business in the EU, with punishments severe enough to jeopardize a company's EU operations--fines can equal up to 4% of a firm's global revenue.
Sensitive data resides everywhere within enterprises. The surface area of risk extends from cloud environments to on-premise data centers, and from off-site locations to the workstation sitting under a developer's desk. The ubiquity of sensitive data–including names, email addresses, and payment information–means that to protect their customers, businesses need to install protective data solutions spanning all of the technology platforms they rely on.
A hacker's target?
For many companies, this includes mainframe systems. While the industry is shifting more and more to the cloud, mainframes still constitute the IT backbone of many businesses, and as such represent target-rich environments for hackers: they manage terabytes of data, they host mission-critical applications, and they're often protected by technologies as old as mainframes themselves. And while the closed design of mainframes may make them less vulnerable to modern-day attacks, there are always risks, and organizations must find ways to protect sensitive data across their full portfolio of systems.
One solution easily secures many systems
Advanced data masking from Delphix provides a way for businesses to easily coordinate security across platforms–from open systems to mainframes. Masking replaces sensitive data values with realistic equivalents, rendering the data useless to a cybercriminal, but still usable for developers or testers. With our latest release, Delphix 5.1.4, we're bringing a data masking solution to DB2 databases and VSAM files running on IBM z/OS mainframes, the "big iron" systems that still power the world's most critical computing workloads. We've also extended data masking support to iSeries systems (formerly known as AS/400).
For organizations accustomed to clunky tools used only by consultants and admins with decades of experience, Delphix Masking represents a new, lightweight approach that simplifies and demystifies mainframe security. Using a single masking software solution, customers have everything they need to automatically mask data through an intuitive, GUI-driven process. They can now use Delphix Masking with z/OS and iSeries systems, as well as with previously supported data sources including Oracle, SQL Server, ASE, MySQL, DB2 on Unix and Linux, and file system data. Customers can apply the exact same rulesets and algorithms for these systems, as they do for their mainframes. Delphix ensures that data masking is both consistent and easy.
The latest Delphix data masking release comes on the heels of earlier work we've done to deepen support across several database types to provide greater version/OS support, and enable customers to effortlessly deliver masked data to non-production zones through a unique feature called Selective Data Distribution.
Taken together, these improvements bring Delphix closer to our vision of supporting all of the critical systems that our customers depend on. And best of all, Delphix means fast, simple, and effective data security for companies concerned with data breach and regulatory compliance–which in today's world, is every organization.
Visit our data masking solution page to learn how Delphix Masking works, and how it's changing data security for the world's leading businesses.