11.9.11

ExtraHop Networks Wins Seattle Business Magazine's Innovation of the Year Award for Application Inspection Triggers

Award Validates Co-founders' Vision for and Development of Flexible, Customized Application Performance Management

SEATTLE, WA – November 9, 2011 – ExtraHop Networks, a leading provider of network-based application performance management (APM) solutions, today announced that Seattle Business Magazine has honored its Application Inspection Triggers technology as its Innovation of the Year. This award marks another validation for ExtraHop's passive, customizable approach to application performance management, which empowers IT personnel for the first time to customize performance monitoring of business-critical applications without the overhead and deployment headaches of agent-based technologies.

"It's great to see ExtraHop recognized for its Application Inspection Triggers technology," said Bojan Simic, president and principle analyst, TRAC Research. "IT environments continue to get more and more dynamic, increasing the need for APM solutions that can be customized to meet any range of business and performance needs—and to do so without complicating the IT environment. ExtraHop's Application Inspection Triggers technology delivers companies with exactly that, providing IT personnel with a passive-network appliance that performs sophisticated analysis and allows them to define metrics for their specific environment, without waiting for product enhancements from traditional APM vendors."

"We're excited to receive Seattle Business Magazine's honor for Innovation of the Year," said Jesse Rothstein, ExtraHop co-founder and CEO. "When Raja Mukerji and I founded the company in 2007, we wanted to bring application awareness to the network, similar to how we brought application awareness to the load balancer during our time at F5 Networks."

"We accomplished that goal with our flagship Application Delivery Assurance system, and Application Inspection Triggers takes the technology the extra mile to give our customers true control and flexibility over how they use our product to best support their needs," continues Rothstein. "That level of control is really crucial for our customers, where business criticality is key."

While other customized monitoring products use filters and expressions, the new Application Inspection Triggers technology introduces a framework for real-time analysis based on scriptable event processing at the application-protocol level. Application Inspection Triggers provide the flexibility to perform sophisticated analysis and define additional metrics for specific environments.

In any IT environment, Application Inspection Triggers provide a wide range of benefits and possible uses, including the following use cases:

  • Client segregation—Focus on a subset of the client population for additional detailed analysis
  • Transaction exclusion—Suppress the analysis of certain transactions according to specific criteria
  • Deterministic, multi-tier correlation—Trace transactions across tiers using embedded tags or session IDs
With the award-winning Application Inspection Triggers, the possibilities are endless for the most-advanced and customizable APM solution on the market today.

About ExtraHop

ExtraHop is on a mission to arm security teams to confront active threats and stop breaches. Our Reveal(x) 360 platform, powered by cloud-scale AI, covertly decrypts and analyzes all cloud and network traffic in real time to eliminate blind spots and detect threats that other tools miss. Sophisticated machine learning models are applied to petabytes of telemetry collected continuously, helping ExtraHop customers to identify suspicious behavior and secure over 15 million IT assets, 2 million POS systems, and 50 million patient records. ExtraHop is a market share leader in network detection and response with 30 recent industry awards including Forbes AI 50, Cybercrime Ransomware 25, and SC Media Security Innovator.

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Press Contact

Mentha Benek

ExtraHop Networks

206-787-8417

pr@extrahop.com