Sponsor: dataguise
Featured Analyst Firm: Gartner
Speakers: Joseph Feiman, Michael Mesaros
Type: Video (24 minutes)
Do you know where the sensitive data in your organization resides? If you don’t, then you can’t mitigate the risk of unintended exposure of that data and you can’t be sure you’re meeting regulatory requirement. One option to secure and protect your sensitive data is to mask or de-identify the data. But what is data masking? What’s driving its adoption? And what do security professionals need to know to find, discover and mask information of structured databases across the enterprise.
If your approach to securing your sensitive data begins and ends with firewalls and encryption, then you’re not addressing two fundamental challenges - the challenge of knowing where all your sensitive data resides and the reality that encrypted data must at some point be unencrypted.
For anyone concerned with application security the use of next generation masking technology for non-production data must be considered. Additionally in a business environment of increasing regulation regarding personal data protection, organizations like yours, need solutions that provide efficiency and consistency in securing sensitive data throughout the entire enterprise.
In this program, Joseph Feiman, VP and Fellow at featured analyst firm, Gartner, Inc., and Michael Mesaros, Director of Product Management at dataguise, address these issues as well as key criteria for effective discovery and masking of sensitive data.
Check out this new program and hear the experts discuss these additional topics:
- The costs and risks associated with not protecting sensitive data from accidental disclosure or theft
- Examples of how security professionals and DBAs are using data protection and masking solutions in specific industries
- The benefits you can obtain from implementing data protection and masking solutions
Plus you’ll hear about a unique approach to data protection that allows you to locate various databases on your network, search these databases and network file systems for sensitive data, and then apply next generation masking technologies to protect that data in development, test, and business analysis environments.
Imagine having the visibility over where sensitive data resides AND the tools to protect this data from proliferating throughout the extended enterprise. Watch this new program and learn how to implement the controls you need to keep your enterprise data secure.
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About Joseph Feiman, Ph.D, Research VP & Gartner Fellow, Gartner
Joseph Feiman, Ph.D., focuses on applications' security: technologies and methodologies enabling secure software life cycle, data privacy, security of large systems and packaged applications, legacies, SOA, Web 2.0, cloud computing security, and security as a service.
Mr. Feiman's research earned him a Gartner Thought Leadership Award for two consecutive years - 2003 and 2004. In 2007 he became Gartner Fellow. His background includes system and application programming, research and development, and management and consulting. Prior to joining Gartner, Mr. Feiman was manager of advanced technologies at American Greetings.
About Michael Mesaros, Director of Product Management, dataguise
Michael Mesaros, CISSP, has over 20 years of experience in product management, marketing and software product development. As Director of Product Management for dataguise he is responsible for product definition and delivery strategies for the company's data discovery and masking solutions. He has held product management positions at Oracle, Applied Identity and Integrated Systems Inc. (acquired by Wind River Systems). At General Dynamics he led embedded software design and development efforts in the areas of digital signal processing, RADAR and electronic intelligence applications. Michael holds an MBA in Marketing and Corporate Strategy from the University of Michigan's Ross School of Business. He has a BSEE in Electrical Engineering and a BS in Cellular and Molecular Biology from the University of Michigan in Ann Arbor, as well as a Masters in Electrical Engineering from San Diego State University.
