When it comes to network management, identifying network faults, anomalies and threats is more than just a full-time job: it’s a job that, increasingly, needs to be done by an artificial intelligence that can look for telltale signs of threats and breaches in what’s known as “wire time.” AIOps platforms use “big data,” machine learning, artificial intelligence and other advanced analytics technologies to enhance IT operations – including security -- with proactive, personal and dynamic insight. AIOps platforms enable the concurrent use of multiple data sources, data collection methods, analytical technologies, and presentation technologies to do what human IT workers simply can’t.
Now CounterFlow AI is introducing a new solution based on what it calls “network forensics.” The platform, called ThreatEye, is an open, scalable AIOps platform designed to ease the burden of SOC analysts who are in need of high-fidelity analysis for investigations but are overwhelmed by unnecessary volumes of data flowing through the network, according to the company.
“ThreatEye seamlessly integrates on-premise and public cloud infrastructures so that analysts benefit from the greater agility, visibility and scalability of public cloud services while getting the performance and cost benefits of the private cloud, according to a CounterFlow press statement. “The network forensics platform employs its technology stack to offer two AIOps-driven solutions: Network Intelligence and Intelligent Packet Capture.”
The ThreatEye Network Forensics platform incorporates machine learning and artificial intelligence to enable intelligent packet capture, which allows security teams to reduce extraneous data by up to 80 percent while retaining only forensically relevant packets. This method is a significant improvement over legacy solutions and traditional approaches supporting bulk packet capture, which tend to place an overwhelming burden on IT workers and security analysts to ingest, analyze and record all the network data, which can lead to slow and inconclusive findings, leaving companies unprepared to correct errors when they’re happening.
To learn more about AIOps and how the technologies can help your business, register for AIOps Expo, which will provide insight into how artificial intelligence and machine learning can help ensure application performance, network performance, and security. The event will be held from February 12 to 14, 2020, in Fort Lauderdale, Florida. For more information or to register, visit the web site.
Edited by
Maurice Nagle
