Intrusion detection systems (IDS) and intrusion prevention systems (IPS) are both vital network security tools used by network administrators to identify cyberattacks and unauthorized activities. While they share the goal of protecting enterprise networks, their core functions and operational methods have distinct differences.
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An intrusion detection system (IDS) is designed to monitor network traffic and detect suspicious activity or potential security threats. It works by analyzing inbound and outbound traffic against known attack signatures or patterns. It identifies irregularities or threats, such as a malware attempt or unauthorized access, alerting administrators to take action. A key characteristic of an IDS is that it is a passive system. It detects and alerts but does not intervene in the traffic itself. This makes it suitable for environments where passive monitoring is preferred. After receiving an alert from an IDS, a user must manually take action to investigate the root cause and remedy it.
The four main types of IDS are as follows:
A hybrid IDS combines some of the above approaches.
IDS solutions use two primary methods for threat detection: signature-based and anomaly-based. Signature-based detection uses a list of known attack behaviors (signatures) to identify attacks that match or resemble those patterns.
Anomaly-based detection establishes a baseline model of normal behavior and flags any activity that deviates from this baseline as potentially suspicious. Many vendors use AI and machine learning to improve anomaly detection capabilities.
An intrusion prevention system (IPS), sometimes referred to as an intrusion detection prevention system (IDPS), not only detects malicious activity but also actively prevents or blocks potential threats in real-time. IPS works similarly to IDS by analyzing network traffic, but it takes immediate action.
This proactive approach helps prevent attacks before they can cause damage. An IPS is generally placed in the direct path of network traffic, often behind the firewall. This inline positioning allows it to scrutinize and act on threats in real time.
Common automated responses by an IPS include:
Fundamentally, an IPS is not just a diagnostic tool but a solution that can respond to detected network security threats.
There are four main types of IPS:
Like IDS, IPS uses signature-based and anomaly-based detection methods. Signature-based IPS scans for patterns indicating vulnerabilities or exploitation attempts by comparing network activity against known threat signatures.
Anomaly-based IPS analyzes network traffic against a baseline model of normal behavior to identify performance anomalies and trigger automated responses. Cutting-edge IPS solutions incorporate AI and machine learning to enhance anomaly detection and reduce false positives.
Policy-based IPS relies on security policies set by the organization to detect and block violations.
The fundamental difference between IDS and IDP lies in their response to detected threats.
This core difference leads to other distinctions:
Despite their differences, IDS and IPS share significant similarities:
Many modern security systems and organizations find that deploying both IDS and IPS is the best approach to achieve a comprehensive security solution. This layered approach ensures that even if a threat bypasses the initial filter (like a firewall), the IDS can detect it and the IPS can take action to prevent harm.
The term “intrusion detection and prevention system” (IDPS) is often used to describe a solution that combines the functionalities of both IDS and IPS. When people use "intrusion prevention system" (IPS), the "detection" action is often implied, essentially making IDPS and IPS terms mostly interchangeable in some contexts. However, it's also common for organizations to view IDS and IPS as separate but mutually reinforcing functions.
In a combined IDS and intrusion prevention setup, the IPS provides active network security by blocking threats, while the IDS can offer deeper insights into network traffic patterns. This combination allows for strong prevention and monitoring, which is considered the most effective strategy in today's threat landscape.
While IDS and IPS are critical, they are not standalone solutions that will take care of cybersecurity by themselves. Proper configuration and continuous management by trained employees are crucial for their effectiveness. They must be integrated carefully into the monitoring environment to avoid issues like false positives.
Other security technologies, such as next-generation firewalls (NGFW), unified threat management (UTM) devices, network detection and response (NDR), and security information and event management (SIEM) solutions, often incorporate or work in conjunction with IDS/IPS capabilities.
Trellix Intrusion Prevention System is a next-generation intrusion detection and prevention system (IDPS) that uses advanced detection and emulation techniques, moving beyond traditional pattern matching to defend against stealthy attacks with a high degree of accuracy.
Trellix IPS combines signature-based detection with advanced botnet and malware detection, advanced intrusion prevention, DOS and DOS prevention, and sandboxing. This multilayered approach enables Trellix IPS to detect and block known and unknown threats, including zero day exploits and sophisticated malware. The system also offers high performance, scalability, and seamless integration with cloud environments, making it suitable for modern, hybrid network architectures.
Increases in vulnerabilities, exploits against those vulnerabilities, and the speed and scale of new exploits make IPS an essential part of network security.
As the need for robust security measures and seamless scalability becomes more critical, the integration of Trellix vIPS with AWS GWLB can bolster your infrastructure’s capabilities.
Trellix IPS identifies and blocks threats across the network, using advanced detection and emulation techniques. It defends against stealthy attacks with accuracy, speed, and scale.