Network Intrusion Detection Systems (NIDS) are fundamental tools in contemporary computer security, designed to identify malicious activity and security policy violations through continuous monitoring of network traffic.
The primary objective of a NIDS is to detect potential intrusions before they can compromise the confidentiality, integrity or availability of network resources. Acting as a ‘digital sentry’, a NIDS provides an additional layer of protection beyond traditional firewalls by analysing network behaviour for suspicious patterns. Firewalls operate on the basis of pre-defined rules, while NIDS are able to identify deviations from normal behaviour and signatures of known attacks, offering a more dynamic defence.
The evolution of cyber threats makes it necessary to adopt proactive monitoring capabilities that transcend simple perimeter security, underlining the continued relevance of NIDS.
The Cypeer Probe X, developed by CYBEROO, positions itself as a cutting-edge probe in the field of Network Intrusion Detection Systems (NIDS), offering threat monitoring and detection capabilities that go beyond traditional solutions. Let us analyse it in detail.
Objectives and functionalities
Cypeer Probe X is designed to monitor network traffic in real time, with the aim of identifying suspicious or potentially malicious activity. This system is based on a dual approach combining signature analysis and advanced machine learning techniques.
Signature analysis allows known attacks to be recognised through pre-defined patterns, while machine learning allows anomalous behaviour to be identified compared to normal traffic, improving the ability to detect unknown or emerging threats.
Detection Mode
Unlike intrusion prevention systems (IPS), Cypeer Probe X operates in detection mode. This means that it does not intervene directly to block threats, but reports any relevant events in real time.
Alerts are sent to the customer’s Security Operations Centre (SOC) or CYBEROO SOC, accompanied by detailed reports that facilitate post-event investigations and forensic analysis. This mode of operation is particularly suitable for environments that require non-intrusive monitoring, while maintaining the operational integrity of networks.
Integration with IOCs
A key element of Cypeer Probe X is its integration with CYBEROO internally developed Indicators of Compromise (IOCs). These IOCs represent recognised attack patterns, attacker techniques and other security anomalies.
Thanks to CYBEROO active participation as an internationally recognised CERT, the IOCs are continuously updated to reflect emerging global threats. This ensures that CYBEROO Probe X remains at the forefront of threat detection, benefiting from collaboration with other international security agencies.
Behavioural analysis
Cypeer Probe X harnesses machine learning algorithms for behavioural analysis, allowing it to detect anomalies in network traffic that might escape traditional signature-based checks.
These algorithms build traffic profiles based on unsupervised learning models, identifying potentially malicious deviations. In addition, detection capabilities adapt dynamically, improving accuracy in detecting new or unknown threats over time.
Hardware architecture
The solution is provided as a licence to be installed on a customer-owned hardware device, ensuring high performance for real-time monitoring of high-volume networks.
The architecture is designed to be easily integrated with the existing infrastructure and can operate in mirror mode, monitoring traffic via a duplicated interface without impacting network performance. This on-premise configuration offers scalability, adapting to networks of different sizes, from small enterprises to large data centres.
Event correlation
Thanks to machine learning algorithms and the use of up-to-date IOCs, Cypeer Probe X offers automatic correlation of events, allowing attacks to be reconstructed even if they are phased or distributed over time. Threat classification is based on priority and criticality, facilitating the intervention of security teams in the event of serious incidents.
This brings a number of strategic benefits, including proactive and real-time protection against known and unknown threats, analysis and logging of LAN traffic not normally visible to firewalling devices, reliability and scalability thanks to dedicated hardware, advanced and customised analysis of network traffic with the support of machine learning, compliance with international security standards, direct collaboration with a recognised CERT, and detailed reporting and auditing capabilities to improve internal security policies.
