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The University of New Mexico Selects Arbor Networks Peakflow SP  
July 2007   

Arbor Networks, a provider of network security and operational performance for global business networks, announced today that the University of New Mexico has deployed both Arbor’s service provider solution, Peakflow SP, and their enterprise solution, Peakflow X, to deliver an unmatched combination of network-wide security, visibility and traffic analysis.

The University of New Mexico is a provider of Internet access to schools across the state of New Mexico, and they have deployed Peakflow SP to protect this network against security threats such as distributed denial of service (DDoS) attacks, botnets and worms, as well as network issues such as traffic and routing instability. Peakflow SP protects more than 70% of the world’s service provider networks by providing real-time, network-wide anomaly detection and reporting of routing and traffic patterns across the entire network.

“The security and performance of New Mexico’s education network impacts every student and educator in the state. We were looking for a solution that would be easily deployed and integrated with our existing technologies and would provide the critical network visibility needed to make informed technology decisions, as well as deliver network-wide security against a range of threats facing today’s network operators,” said Paul Chang, who manages critical pieces of New Mexico’s education infrastructure. “Peakflow SP delivers real-time, network-wide anomaly detection and reporting, and helps us understand and visualize the threats on our network, whether they stem from an attack, misconfiguration or the longer-term impact of changes in network utilization.”

For the network that connects the campuses of the University of New Mexico itself, they have deployed Peakflow X for its ability to provide unique visibility into user behavior, application usage and threat prevention, protecting the reliability and security of data, applications and services inside the University network. Peakflow X constructs a system-wide view of the entire network, auto-learning host behaviors to determine who talks to whom, and how. In real-time, Peakflow X compares traffic against these baselines to perform network behavior analysis (NBA), an innovative management technique used to identify developing security threats that do not yet have signatures – and therefore may easily slip by other devices such as intrusion prevention systems and firewalls – including virulent "zero day" attacks.

“On the University network, our primary concern was visibility into the Internet usage of our students who are utilizing all the latest technologies such as wireless, instant messaging and peer-to-peer file sharing,” said Kingsavanh Bounkeua, enterprise command center manager with The University of New Mexico. “While these are great new technologies, they present real security issues for network operators. Peakflow X is providing us with on-time network troubleshooting through the use of flow information, delivering unique visibility into user behavior, application usage and threat prevention.”

July 2007  
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