Deploying NetFlow as a Countermeasure to Threats like CNB

Few would debate legendary martial artist Chuck Norris’ ability to take out any opponent with a quick combination of lightning-fast punches and kicks. Norris, after all, is legendary for his showdowns with the best of fighters and being the last man standing in some of the most brutal and memorable fight scenes. It’s no surprise, then, that hackers named one of their most dubious botnet attacks after “tough guy” Norris, which wreaked havoc on internet routers worldwide. The “Chuck Norris”

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Big Data – A Global Approach To Local Threat Detection

From helping prevent loss of life in the event of a natural disaster, to aiding marketing teams in designing more targeted strategies to reach new customers, big data seems to be the chief talking point amongst a broad and diverse circle of professionals. For Security Engineers, big data analytcs is proving to be an effective defense against evolving network intrusions thanks to the delivery of near real-time insights based on high volumes of diverse network data. This is largely thanks

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3 Ways Anomaly Detection Enhances Network Monitoring

With the increasing abstraction of IT services beyond the traditional server room computing environments have evolved to be more efficient and also far more complex. Virtualization, mobile device technology, hosted infrastructure, Internet ubiquity and a host of other technologies are redefining the IT landscape. From a cybersecurity standpoint, the question is how to best to manage the growing complexity of environments and changes in network behavior with every introduction of new technology. In this blog, we’ll take a look at

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Balancing Granularity Against Network Security Forensics

With the pace at which the social, mobile, analytics and cloud (SMAC) stack is evolving, IT departments must quickly adopt their security monitoring and prevention strategies to match the ever-changing networking landscape. By the same token, network monitoring solutions (NMS) developers must balance a tightrope of their own in terms of providing the detail and visibility their users need, without a cost to network performance. But much of security forensics depends on the ability to drill down into both live

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