Sideband Networks' solutions prevent breaches by identifying active threats to critical assets on the network. Sideband's SBN Behavioral Monitoring Solution leverages analytics and machine cognition to understand normal patterns of communication behavior and generate premium, contextual alerts to anomalous behavior indicative of an emerging threat. Sideband's solution deploys through spans, taps, and mirror ports to gather live streaming traffic with minimal impact on the enterprise security footprint. The SBN appliances can handle over 10 Gbps of live network traffic and house Sideband's analytics software for real-time processing and alerting. The solution deploys quickly, does not require complicated rules and signatures to set up, and integrates with your existing security infrastructure to improve situational awareness and speed security incident response. Available in physical appliance and virtual form factors, the Sideband solution is ideal for deployment in enterprise data centers, corporate headquarters, and remote offices.
The Sideband SBN series appliances provide real-time behavior analytics and anomaly detection in a compact, 1U form factor. With models available supporting maximum processing rates of up to 10Gbps, the SBN series appliances are ideal for deployment in enterprise data centers, corporate headquarters and branch offices.
The Sideband vSBN virtual appliance provides the same real-time behavior analytics and anomaly detection as the SBN appliance while easily deploying as an OVF. With the vSBN, security teams can monitor critical asset communications for both the virtual and physical networks running within and between hypervisors.
Company Recognized for its Analyze Alert Act Network Performance Management (A3NPM) SolutionSUNNYVALE, Calif. – April 29, 2014 –
Sideband Networks (www.sidebandnetworks.com) today announced it has been named a “Vendor to Watch” by Enterprise Management Associates for its “Analyze Alert Act Network Performance Management” (A3NPM) solution that combines monitoring with closed-loop controls for true network performance management. EMA Vendors to Watch are companies that deliver unique customer value by solving problems that had previously gone unaddressed or provide value in innovative ways. The designation rewards vendors that dare to go off the beaten path and have defined their own market niches.
“Sideband Networks is unique in its ability to take techniques such as enterprise-wide ANPM, topological awareness, detailed analytics and closed-loop controls, and combine these capabilities into a single product,” said Jim Frey, Vice President of Research, Network Management, EMA. “Such a solution has the potential to not only provide clear, accurate visibility and analytics, but also to take direct, automated corrective actions based on monitoring findings.”
Out of stealth in late 2013, Sideband Networks has produced the industry's first unified solution that offers a new perspective on network intelligence. Previously, enterprises were left with just a partial understanding of their networks due to a lack of available integration between their disparate network tools. Sideband addresses these limitations with a solution that aims to unify disparate network management and monitoring tools to provide L2-L7 network visibility for better understanding of infrastructure, ability to correlate live network traffic to stored logs for root cause analysis and a topology view that provides drill down on applications, devices and users and provides action on fault in a single pane view dashboard.
“In a short amount of time, Sideband Networks has delivered on its goal to provide a single point of visibility and control to a networking team,” said Zane Taylor, CEO, Sideband Networks. “To be recognized for this achievement by EMA, a trusted and respected organization, validates our work to date and will inspire the company as we continue to grow the industry's most comprehensive network performance management solution available today.”
For more information, visit www.sidebandnetworks.com.