Network Detection | Breaking Cybersecurity News | The Hacker News

Security Operations Centers (SOCs) are stretched to their limits. Log volumes are surging, threat landscapes are growing more complex, and security teams are chronically understaffed. Analysts face a daily battle with alert noise, fragmented tools, and incomplete data visibility. At the same time, more vendors are phasing out their on-premises SIEM solutions, encouraging migration to SaaS models. But this transition often amplifies the inherent flaws of traditional SIEM architectures. T he Log Deluge Meets Architectural Limits SIEMs are built to process log data—and the more, the better, or so the theory goes. In modern infrastructures, however, log-centric models are becoming a bottleneck. Cloud systems, OT networks, and dynamic workloads generate exponentially more telemetry, often redundant, unstructured, or in unreadable formats. SaaS-based SIEMs in particular face financial and technical constraints: pricing models based on events per second (EPS) or flows-per-minute (FPM) ca...

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...

Python supply chain attacks are surging in 2025. Join our webinar to learn how to secure your code, dependencies, and runtime with modern tools and strategies.