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Sat, 13 March 2010


Code Green Advantage - Next Generation Content Protection


Several well-publicised incidents of customer data loss have spawned a first generation of products designed to help prevent such losses. These first generation products are:

  • Focused on customer data
  • Limited to English
  • Deployed on network or client - but not both
  • Costly to own with many software modules requiring configuration

Customer data, however, is just the tip of the information loss iceberg. The Computer Security Institute estimates that 75% of the $200 billion in measured annual security losses come from within the organisations due to unauthorised disclosure of proprietary business information and intellectual property — such as a new product design drawings, merger and acquisition documents or proprietary source code. Unauthorised disclosures can result in loss of competitive advantage, delayed time to market, significant loss of revenue and may invoke regulatory sanctions.

To protect your sensitive content against such disclosures and to mitigate your reputation risk, Code Green Networks has developed the next generation content protection systems. Unlike first generation products, Code Green Networks is designed to protect:

  • All content from all sources including content management systems
  • All languages represented in multi-byte character sets
  • All leakage points with an integrated enterprise architecture

The heart of this next generation system is the Content Inspection (CI) Appliance™. Connected at the network egress point, this appliance is a complete, enterprise content protection solution in-a-box. It can be installed and configured to protect your sensitive information in an hour or less. A role-based web interface enables users to easily define protection policies and analyse incidents.

Our patent-pending Deep Content Fingerprinting™ technology provides unparalleled detection of protected information including:

  • Fingerprinting of over 390 source content file formats.
  • Detection of derivative work and content fragments.
  • Support for all languages including Japanese, Chinese and Korean.
  • Highly-accurate detection while minimising false positives.
  • Fingerprinting of up to one terabyte of source content.


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