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 Inspection and Analysis
  • Utilizes Deep Packet Inspection (DPI) technology to inspect and analyze network packets.
  • Decodes common protocols and detects anomalies in data flows.

Monitors network traffic to identify targeted and stealthy attacks, including Advanced Persistent Threats (APTs).

  • Password and vulnerability scanning
  • Denial-of-Service (DoS/DDoS) attacks
  • Web application attacks (SQLi, XSS, etc.)
  • Service exploitation and network reconnaissance
  • APT malware indicators and techniques mapped to the MITRE ATT&CK framework
  • Identifies anomalous activities such as Network Scans, Shellcode, Web Attacks, Trojans, Suspicious Logins, and more.
  • Leverages Artificial Intelligence (AI) and Machine Learning (ML) to detect previously unknown attacks without predefined signatures.
  • Reviews connections associated with attack indicators or specific IP addresses.
  • Supports packet reconstruction and network queries in PCAP format for in-depth analysis.
  • Integrates with SIEM systems via Syslog or API to transmit logs and security alerts.

WHY DO ORGANIZATIONS AND BUSINESSES NEED THIS PRODUCT?

Detect and prevent attacks within the core network Detect and prevent attacks within the core network

Enables tight control of internal traffic and early detection of anomalous activities before they lead to serious consequences.

Identifies new and previously unknown attack patterns through integrated AI/ML technologies.

Supports technical teams in detecting, analyzing, and responding to security incidents effectively, even after an attack has occurred.

Provides tools for tracing and reconstructing data, enabling faster investigations and reducing incident response time.

Integrates smoothly with SIEM systems and automated alerting mechanisms, supporting streamlined and efficient security operations.