Sourcefire Launches RazorbackSourcefire logo

Latest Open Source Innovation Enables Users to Tie Together Various Threat Collection and Detection Technologies for Faster, Coordinated Protection

Sourcefire, Inc. (Nasdaq:FIRE), the creator of Snort(R) and a leader in intelligent cybersecurity solutions, today announced Razorback(TM), an open source framework designed to deliver deep inspection capabilities for combating today's most complex threats. In addition, Razorback has the ability to link together an organization's detection investments and maximize their effectiveness -- providing greater visibility and intelligence into the threats detected by a variety of security solutions. Developed to help coordinate the response against Advanced Persistent Threats (APT), Razorback enables users to easily collect, analyze and store threat data from disparate technologies, so that they can implement customized enterprise- and threat-specific detection and remediation.

"The fear attributed to the common computer security breach has been elevated by the concept of an adaptive persistent adversary (APA) and the potential for multiple advanced persistent threat (APT) vectors," explains Andrew Hay, Senior Analyst at The 451 Group. "We are pleased to see this evolutionary step in the right direction, and hope it is the first of many."

Razorback's goal is to act as an overlay solution and deliver centralized correlation, analysis and action by coordinating Intelligence Driven Response (IDR) processes using custom built and existing security tools (anti-virus, IDS, gateways, email, etc.). IDR goes beyond traditional incident response. It allows users to drive the information learned about specific attackers back into their security infrastructure for a truly customizable response to human adversaries. Razorback provides deep analysis and reporting by storing, in full, every piece of data identified that could indicate a compromise or attack and specifically highlights the components of that data which cause the system to trigger an

 

 
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