Network Detection | Breaking Cybersecurity News | The Hacker News

Today, most Network Detection and Response (NDR) solutions rely on traffic mirroring and Deep Packet Inspection (DPI). Traffic mirroring is typically deployed on a single-core switch to provide a copy of the network traffic to a sensor that uses DPI to thoroughly analyze the payload. While this approach provides detailed analysis, it requires large amounts of processing power and is blind when it comes to encrypted network traffic. Metadata Analysis has been specifically developed to overcome these limitations. By utilizing metadata for analysis, network communications can be observed at any collection point and be enriched by the information providing insights about encrypted communication. Network Detection and Response (NDR) solutions have become crucial to reliably monitor and protect network operations. However, as network traffic becomes encrypted and data volumes continue to increase, most traditional NDR solutions are reaching their limits. This begs the question: What detect...

Network Detection & Response (NDR) is an emerging technology developed to close the blind security spots left by conventional security solutions, which hackers exploited to gain a foothold in target networks. Nowadays, enterprises are using a plethora of security solutions to protect their network from cyber threats. The most prominent ones are Firewalls, IPS/IDS, SIEM, EDR, and XDR (which combines the functionality of EDR and SIEM). However, all these solutions suffer from security gaps that prevent them from stopping advanced cyber-attacks efficiently.  NDR was developed based on Intrusion Detection System (IDS). An IDS solution is installed on the network perimeter and monitors the network traffic for suspicious activities. IDS systems suffer from many downsides that make them inefficient in stopping modern cyber-attacks: IDS use signature-based detection techniques to discover abnormal activities, making them unable to spot unknown attacks. In addition, IDS systems tri...

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