NCS NIPS

Network Intrusion Prevention (NIPS) is a real-time monitoring solution that tracks network traffic and analyzes packets to detect, alert, and prevent cyberattacks. The solution is deployed flexibly and quickly without affecting services or applications in the network system. It leverages traffic collection methods (SPAN/monitoring) on switching devices to facilitate the analysis process.

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Network Intrusion Prevention (NIPS) is a real-time monitoring solution that tracks network traffic and analyzes packets to detect, alert, and prevent cyberattacks. The solution is deployed flexibly and quickly without affecting services or applications in the network system. It leverages traffic collection methods (SPAN/monitoring) on switching devices to facilitate the analysis process.

PRODUCT FEATURES

Packet Analysis and Inspection

–  Apply Deep Packet Inspection (DPI) technology to dissect and analyze network packets.
– Decode common protocols and detect anomalies in data streams.

– Monitor traffic to identify targeted, stealthy attacks such as APTs.

– Detect various attack types including:

+ Password and vulnerability scanning

+ Denial-of-Service (DoS/DDoS) attacks

+ Web application attacks (SQLi, XSS, etc.)

+ Service exploitation and network reconnaissance

+ APT malware indicators, techniques aligned with MITRE ATT&CK

– Identify abnormal behaviors such as: Network Scans, Shellcode, Web Attacks, Trojans, Suspicious Logins, etc.
– Leverage Artificial Intelligence (AI) and Machine Learning (ML) to detect previously unknown attack patterns.

– Review connections related to attack indicators or specific IP addresses.
– Support packet reconstruction and network queries in PCAP format for analysis.
– Capable of integration with SIEM systems via syslog or API for log transmission and alert

WHY DO ORGANIZATIONS AND BUSINESSES NEED THIS PRODUCT?

Detect and Prevent Attacks from Within the Core Network Detect and Prevent Attacks from Within the Core Network

Helps tightly control internal traffic and detect abnormal behaviors early, before they cause serious damage.

Identifies new attack forms without existing signatures through the integration of AI/ML technologies.

Supports technical teams in effectively detecting, analyzing, and responding to incidents, even after attacks have occurred.

Provides tracing tools and data reconstruction to enable fast investigations and minimize incident response time.

Seamlessly connects with SIEM systems, enables automated alerts, and supports smooth, efficient operations.