What is an Intrusion Detection System (IDS)? A complete guide

An Intrusion Detection System monitors network traffic and alerts on threats without interrupting the traffic flow. This guide explains how IDS works, how it differs from IPS, and how it supports compliance and forensic investigation in regulated environments.

What is an Intrusion Detection System?

An Intrusion Detection System (IDS) is a network security technology that monitors traffic and generates alerts when it detects threats, suspicious activity, or policy violations. Where an Intrusion Prevention System (IPS) sits inline and blocks threats in real time, an IDS operates out of band – examining copies of traffic without interrupting the flow – and surfaces what it finds to security teams for investigation and response.

The distinction matters in practice. An IDS produces visibility and a detailed record of what is happening on the network. That record supports incident response, forensic investigation, and the continuous compliance evidence that regulated organisations need to produce. An IPS provides automated blocking. Both have a role, and they are frequently deployed together.

How does an IDS work?

An IDS captures network traffic using TAP or SPAN ports, which mirror packets to the monitoring system without affecting the live traffic path. This out-of-band deployment means the IDS can examine traffic at volume without introducing latency, and a failure or misconfiguration in the IDS does not interrupt network operations.

The captured traffic is analysed against threat intelligence databases and behavioural baselines. When the system identifies a match – a known attack signature, an anomalous traffic pattern, or a policy violation – it generates an alert containing detail about the activity, the source, the destination, and the nature of the threat. That alert goes to the security team, or to a SIEM platform where it is correlated with other data sources, rather than triggering an automated block.

Detection methods

  • Signature-based detection compares traffic against a database of known threat patterns. It is precise and produces low false positive rates for documented threats, but it cannot identify attacks that have no existing signature. Keeping the signature database current is an operational requirement – an IDS running on outdated signatures provides progressively less coverage as the threat landscape evolves.
  • Anomaly-based detection establishes a baseline of normal network behaviour and alerts when traffic deviates significantly from it. This approach can surface zero-day attacks and advanced persistent threats that have no known signature, because it looks at what traffic is doing rather than what it matches. It requires time to build an accurate baseline and tuning to manage false positives, but it addresses a class of threats that signature-only detection cannot.
  • Policy-based detection monitors for violations of defined organisational security rules. Any activity that contradicts a configured policy – a protocol used inappropriately, data moving to an unauthorised location, or an application behaving outside expected parameters – generates an alert. This is particularly relevant for regulated organisations with defined information security standards, where automated monitoring of policy compliance supports both security and audit readiness.

Types of IDS

A network-based IDS (NIDS) monitors traffic across an entire network segment, typically deployed at perimeter points or between network zones. It provides broad visibility across many systems and is effective at detecting network-level attacks, reconnaissance activity, and threats that move laterally across the estate.

A host-based IDS (HIDS) operates on individual endpoints or servers, monitoring system logs, file integrity, and local traffic. It provides device-level visibility that a network-based system cannot, and is particularly effective for detecting insider threats, compromised accounts, and activity on high-value systems that needs detailed monitoring.

Many organisations deploy both, using network-based systems for broad visibility and host-based systems for deep monitoring of critical assets.

IDS evasion techniques

Understanding how attackers attempt to evade detection helps with configuration and placement decisions.

Packet fragmentation involves splitting malicious payloads across multiple packet fragments to make signature matching harder. Modern IDS implementations counter this through packet reassembly before inspection.

Encrypted traffic presents a challenge for content-based detection, since encrypted payloads are not visible to standard inspection. IDS systems address this through traffic metadata analysis and, where SSL inspection is deployed upstream, by examining decrypted content before re-encryption.

Traffic flooding attempts to overwhelm the IDS with volume, causing detection failures during high-load periods. Robust deployments address this through traffic prioritisation and capacity planning aligned to expected peak loads.

Protocol manipulation uses unusual protocol implementations or tunnelling to avoid pattern matching. Anomaly-based detection is particularly effective here, since unusual protocol behaviour deviates from the established baseline regardless of whether it matches a known signature.

IDS and compliance in regulated environments

For regulated organisations, an IDS serves a function beyond threat detection. The alerts and logs it generates are the audit trail. CAF, DSPT, and NIS2 assessments expect organisations to demonstrate that network activity is monitored, that anomalies are detected and investigated, and that the records to evidence this are available. An IDS producing continuous, detailed logs of network activity and detected threats is part of the technical foundation that makes that evidence available.

The quality of IDS deployment matters here as much as its presence. An IDS that is poorly positioned, running on stale signatures, or generating so many alerts that triage becomes impractical does not provide the compliance value that a well-managed deployment does. Alert management, regular signature updates, and integration with SIEM tooling for correlation and prioritisation are all part of getting value from the capability.

IDS compared to IPS

The IPS piece on this site covers the distinction in more detail. In summary: an IDS monitors and alerts; an IPS monitors and acts. IDS is the visibility and evidence layer. IPS is the automated response layer. They are complementary rather than alternatives, and most mature security architectures include both.

How Cloud Gateway delivers IDS capability

IDS capability is delivered as part of Cloud Gateway’s Managed Firewall capability, within the Protect pillar. Signature databases are maintained and updated continuously as part of the managed service. Alerts are available through the platform and can be exported to SIEM tools for correlation. The audit log generated by the IDS capability contributes to the compliance evidence record that the Assure pillar makes available for assessment and reporting.

For more on how this works within the wider security estate, see our Managed Firewall page and our platform page.

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