It likely will come as no surprise that the machine learning (ML) market is expected to experience a compound annual growth rate of almost 40 percent through 2027 – when it’s estimated the value of the market will then be $117 billion. What may come as more of a surprise is that the top two ML use cases are risk management, followed by performance analysis and reporting.
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Why analyzing network flow data helps network performance
Posted on - by Carter Foster
When we talk about Plixer’s Network Performance Monitoring and Diagnostic (NPMD) platform, one of the key features that we highlight is that our solutions use network flow data instead of relying upon the data derived from packet capture. To understand why we’re so passionate about this unique differentiator, it’s useful to understand what network flow data is and how it benefits enterprise NetOps and SecOps teams.
Read moreNetwork intelligence with machine learning
Posted on - by Carter Foster
Whether you’re monitoring an enterprise network for performance or security, you need a tool to help collect and process data. Data is good to have, but it’s really just documentation unless you can put it to use. Almost every organization wonders how they can use data to improve network performance or security. Machine learning helps provide an answer to that question.
Read moreWhy you shouldn’t rely on packet analysis for threat detection
Posted on - by Carter Foster
If you’re familiar with Plixer’s solutions, you’ve likely noticed that one of our main competitive differentiators is that our solutions don’t depend on packets but instead use network flow data. Network flow data comes from your existing infrastructure—switches, routers, firewalls, packet brokers, security tools, network monitoring systems, and more.
Read moreThe importance of network device discovery
Posted on - by Justin
Market research consulting firm Frost & Sullivan’s recent analysis found that enterprises were becoming more vulnerable to cyberattacks due to an expanded attack surface increase by “multiple touchpoints through an open network and easy accessibility to database[s] and applications.” As users join and leave the network from myriad devices, organizations need a way to improve their security posture without significantly increasing costs. But as the threat surface grows, what can organizations do to reduce risk?
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