Intrusion Detection/Prevention (IDS/IPS)
Detect and prevent network intrusions
Filter Security Solutions
Security Onion
Security Onion is a free, open-source Linux distribution designed for threat hunting, network security monitoring, and centralized log management.
Snort
Snort is an open-source intrusion detection and prevention system that provides real-time network traffic analysis and packet logging capabilities.
Suricata
Suricata is an open-source network intrusion detection and prevention system that provides high-performance threat detection and network security monitoring capabilities.
OSSEC
OSSEC is an open-source host-based intrusion detection system that provides real-time log analysis, file integrity monitoring, and security event correlation across multiple platforms.
Alert Logic IDS
Alert Logic IDS provides cloud-based intrusion detection services with continuous 24/7 monitoring and threat analysis for enterprise security operations.
Hillstone Networks
Hillstone Networks provides comprehensive network intrusion prevention systems with advanced behavior-based detection capabilities for enterprise cybersecurity.
IBM Security Network IPS
IBM Security Network IPS is an enterprise intrusion prevention system that combines traditional threat detection with cognitive security capabilities powered by Watson for AI.
McAfee Network Security Platform
McAfee Network Security Platform delivers real-time network intrusion prevention with advanced malware analysis capabilities for enterprise threat detection.
Trend Micro TippingPoint
Trend Micro TippingPoint is an advanced threat protection system that combines deep packet inspection, zero-day prevention, and real-time network security monitoring.
Cisco Secure IPS
Cisco Secure IPS is a next-generation intrusion prevention system that combines advanced threat detection with automated response capabilities and integrated threat intelligence.
Intrusion Detection and Prevention Systems (IDS/IPS) provide real-time monitoring and automated response capabilities to identify and block malicious network activities, attack attempts, and policy violations. These systems analyze network traffic using signature-based detection, anomaly detection, and behavioral analysis to identify threats ranging from known exploit attempts to sophisticated zero-day attacks and advanced persistent threats.
Modern IDS/IPS platforms integrate machine learning algorithms, threat intelligence feeds, and contextual analysis to reduce false positives while improving detection accuracy for sophisticated attacks. The systems can operate in passive monitoring mode (IDS) for forensic analysis and compliance reporting, or active blocking mode (IPS) for real-time threat prevention, with deployment options including network-based, host-based, and cloud-native implementations.
Organizations deploy IDS/IPS solutions to establish comprehensive threat detection capabilities, automate incident response, and maintain compliance with regulatory requirements for continuous monitoring. The layered approach provides critical security intelligence for SOC operations, enables rapid threat containment, and supports forensic investigation while ensuring network security teams can respond effectively to evolving threat landscapes and sophisticated attack techniques.