Palisade Systems and Mobile Active Defense Partner on DLP

By Jessica Binns, Contributing Editor — May 01, 2012

Palisade Systems, a vendor in the data security and data loss prevention (DLP) markets, announced that the award-winning mobile security company Mobile Active Defense (M.A.D.) is integrating Palisade Systems' DLP technology into their Mobile Enterprise Compliance Security (MECS) Server offerings to protect sensitive data from being shared or inadvertently leaked from mobile devices and workforces.

The MECS Server extends existing enterprise and network security policies across mobile platforms with unparalleled security, complete encryption, geolocation and granular firewall controls, containerization, a suite of anti-virus and malware detection, content filtering and device management tools -- and now data loss prevention (DLP) functionality -- to provide the most secure solution for a wide range of mobile devices.

"Using mobile devices for business purposes is a way of life for many employees," explained Dr. Guy Helmer, CTO for Palisade Systems. "Our patented technology identifies sensitive content and enforces data usage policies, so companies can add additional security to their mobile devices, such as iPads, iPhones, tablets, smart phones and much more."

There are many factors to consider when looking at DLP solutions. DLP should be able to discover content, not just on Windows servers and clients, but on other OSes; be able to read data from complex applications such as databases; classify content when in use, at rest, or in motion and have built in advanced content matching and data detection techniques.

The Mobile Active Defense implementation of the Palisade technology provides in-depth, proven content analysis capabilities such as:

  • Input, open, and extract text from files in the mobile environment
  • Analyze content of files coming into and leaving mobile devices
  • Determine if any content matches company critical sensitive data including PII, PFI, PHI, intellectual property, structured data, and custom policies
  • Produce an output file indicating the content types that were found, the number of matches, and the text that matched
  • Analyze output and determine an action
  • Provide high-speed remediation through the MECS console


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