Endpoint vs network detection: definitions and best practices

Cyber security involves many layers of technology and processes. Two important methods for catching threats inside organisations are endpoint detection and network detection, each focusing on different digital environment components.

If you’re experiencing signs of a potential cyber incident and need urgent support, contact Zensec today. Our Incident Response teams are available for same-day deployment to help you contain and resolve threats quickly.

Like many professionals, you’ll want to know the key differences between endpoint and network detection. Understanding how each works can help you make sense of modern security strategies and tools.

In this guide, we’ll explain the basics of endpoint versus network detection, compare them to other detection methods, and outline best practices for using both.

Endpoint vs network detection: What’s the difference?

Both endpoint and network detection are vital techniques for identifying potential threats and helping organisations respond to them. However, each has a key purpose:

• Endpoint Detection: Endpoint detection is a security approach that uses software agents installed on individual devices, such as laptops, servers, or mobile phones. These endpoint security agents watch for unusual or suspicious activities on the device, including unexpected processes, file changes, or strange login attempts.

• Network Detection: Network detection focuses on monitoring data flow between devices. It uses sensors or appliances to examine network traffic for patterns that could signal a cyberattack, such as large data transfers, unusual network connections, or communication with suspicious external servers.

The main differences between these two approaches include:

Data visibility

Endpoint detection monitors activity on each device, such as the programs running or files being accessed. Network detection observes the traffic moving between devices, looking for threats in the data that travels across the network.

Installation requirements

Endpoint detection usually requires installing software on each device. Network detection works by analysing traffic, often through dedicated hardware or cloud-based tools, without needing agents on every endpoint.

Types of threats detected

Endpoint detection identifies threats directly on a device, like malware running or unauthorised changes. Network detection finds threats in network traffic, such as lateral movement between devices or data exfiltration.

Each method can miss specific threats that the other might catch. For example, encrypted traffic may hide attacks from network detection, but endpoint agents might still spot suspicious behaviour on the device.

Why both endpoint and network detection matter

Relying on traditional network security solutions and one type of detection means leaving weak spots that attackers can exploit. Cybercriminals aren’t hobbyists; they dedicate their time to learning how these systems work and figuring out ways around them.

Hackers can still switch tactics even if you have a robust endpoint security measure. For example, they can use legitimate tools or create malware that doesn’t leave obvious signs on the device.

But those same attacks often appear in other ways, like strange network behaviour. You might see devices talking to each other when they usually wouldn’t, or big chunks of data being sent to unknown servers. That’s where network detection steps in, it can catch what endpoint tools miss.

The reverse is true as well. If a company relies only on network monitoring, attackers might use tricks like encryption or trusted cloud services to hide what they’re doing. In those cases, the endpoint agent is the one that notices something’s off, like an odd process running in memory or a new user account suddenly appearing.

By combining endpoint and network security detection and response measures, you ensure your organisation is prepared for threats of all kinds.

Comprehensive coverage reduces blind spots

When security teams use both detection methods together, they create what experts call “layered defence.” The approach reduces the chances that an attacker will go completely unnoticed.

For example, if a network sensor detects unusual communication between two servers, security analysts can check endpoint logs to see what processes were running on those machines. Analysts can examine network logs to see if an endpoint agent flags suspicious file activity if the affected device communicated with known malicious servers.

This cross-verification helps security teams distinguish between real threats and false alarms, allowing them to focus on genuine incidents rather than chasing every alert.

How attacks unfold and where each detection method helps

Cyber attacks usually move through several stages, and understanding them shows where endpoint or network detection is most valuable.

Initial access and early reconnaissance

Attackers often gain entry by phishing emails, exploiting software vulnerabilities, or using stolen credentials. When a user opens a malicious email attachment, endpoint detection may catch the malware or exploit code as it runs on that computer.

Network detection can identify other aspects of this stage, such as connections to known malicious websites or unusual traffic patterns from the compromised device.

After gaining access, attackers usually perform reconnaissance – scanning the network to find valuable targets and understanding the environment.

However, this activity creates distinctive network patterns that detection systems can identify, such as one device suddenly querying many others or attempting connections to services it doesn’t normally access.

Lateral movement and persistence

Once attackers identify their targets, they move between systems using stolen credentials or exploiting vulnerabilities. Some will also install persistence mechanisms to maintain access, such as creating new services or scheduled tasks.

Network detection excels at catching lateral movement because it can flag authentication attempts or data transfers between systems that don’t normally communicate. This east-west traffic monitoring often reveals how attackers spread through an organisation.

Endpoint detection is crucial in identifying what attackers do on each compromised system. It can detect new services installed, privilege escalation attempts, or known attack tools being executed.

Data theft and final objectives

In the final stages, attackers typically work toward their goal – stealing sensitive data, deploying ransomware, or causing other damage.

Network detection is extremely valuable for spotting data exfiltration. Large outbound data transfers, especially to unfamiliar external servers, often indicate theft in progress. Even if attackers encrypt the stolen data, network monitoring can detect unusual volumes of traffic leaving the organisation.

Endpoint detection contributes by catching preparatory cyber threats, such as attackers gathering files into archives or ransomware beginning to encrypt data. Some endpoint tools can automatically stop these processes before they cause significant damage.

Best practices for implementing both detection methods

Implementing an effective network and endpoint security solution requires strategic planning and ongoing management. It’s not just a case of purchasing security tools, as cyber threats and data breaches require an in-depth understanding from key organisational stakeholders.

Endpoint detection deployment:

1. Deploy endpoint agents across all organisational devices, including laptops, desktops, servers, and specialised systems like point-of-sale terminals. Any unmonitored device becomes a potential blind spot, increasing the risks of known and unknown threats.

2. Choose solutions that provide behavioural detection capabilities rather than relying solely on signature-based antivirus. Behavioural detection can identify novel attacks and fileless malware that traditional antivirus software might miss.

3. Configure agents properly by enabling anti-tampering features and ensuring they send logs to a central system for analysis. Regular updates keep detection capabilities current against new threats.

Network monitoring setup:

1. Identify key network points where monitoring provides maximum visibility, such as core switches, internet gateways, and connections between network segments. Deploy network sensors or enable traffic logging at these locations.

2. Monitor north-south traffic (entering and leaving your network) and east-west traffic (moving between internal systems). Many attacks involve lateral movement that only shows up in internal communications.

3. Address encrypted traffic challenges through metadata analysis or selective decryption at key points. While encryption limits what network tools can see inside data packets, they can still analyse connection patterns and traffic volumes.

Integration and analysis:

1. A centralised system like a Security Information and Event Management (SIEM) platform can collect alerts from endpoint and network detection tools. This integration provides comprehensive protection by improving detection accuracy and reducing false positives.

2. When possible, implement automated responses to high-priority alerts. For example, if endpoint detection identifies malware on a device, the system might automatically isolate that device from the network while security analysts investigate.

Standard detection tools and technologies

Many security solutions are available, and understanding the differences between tools helps you make informed decisions about which solutions to invest in.

Endpoint detection and response (EDR) solutions

Popular EDR platforms include Microsoft Defender for Endpoint, and SentinelOne. These tools provide capabilities ranging from malware prevention to behavioural detection and incident response.

Traditional antivirus software also falls into the endpoint protection category, though modern EDR solutions offer more advanced detection and response features.

Network detection and response (NDR) systems

NDR platforms analyse network traffic patterns to identify threats that might not be visible at the endpoint level. Traditional network-based intrusion detection systems (IDS) and intrusion prevention systems (IPS) also serve network security functions, though they typically focus on signature-based detection rather than behavioural analysis.

Many organisations combine multiple tools – using EDR agents on endpoints, NDR appliances monitoring network traffic, and SIEM systems to correlate alerts from both sources.

Extended detection and response (XDR)

Extended Detection and Response (XDR) is an innovation in security technology, as it combines endpoint detection, network detection, and other security data sources into unified platforms.

XDR solutions automatically correlate alerts from multiple sources to provide more complete threat visibility. Instead of security analysts manually checking endpoint logs and network data separately, XDR platforms present a unified view of security events.

While organisations can achieve similar results by integrating separate EDR and NDR tools through a SIEM system, XDR platforms aim to provide this integration with less configuration required.

The main advantage of XDR is reduced alert fatigue. By correlating data from multiple sources, these platforms can filter out false positives and highlight genuine threats more effectively than individual tools working in isolation.

Getting expert help with detection strategies

Many organisations, particularly those with smaller IT teams, find it challenging to implement and manage comprehensive detection capabilities independently. Managed Detection and Response (MDR) services provide 24/7 monitoring and expert analysis of security alerts.

These services typically cost between £5,000 and £50,000 per year, depending on organisation size and requirements. MDR providers handle the complex tasks of tuning detection systems, investigating alerts, and responding to confirmed threats.

Specialist incident response firms can provide immediate expert assistance for organisations dealing with active security incidents. Please get in touch with our security team today if you’d like more information about implementing endpoint security and network security solutions.

FAQs

What is the main difference between endpoint detection and network detection?

Endpoint detection monitors activities happening directly on individual devices, such as file changes, running programs, or user logins. Network detection monitors communications between devices, analysing traffic patterns and data flows to identify threats moving through the network.

Can encrypted traffic hide threats from network detection systems?

Encrypted traffic limits what network detection systems can see inside data packets, but can still analyse connection patterns, traffic volumes, and metadata. Many modern network detection tools use these techniques to identify suspicious encrypted communications without decrypting the content.

How does XDR differ from using separate EDR and NDR tools?

XDR (Extended Detection and Response) platforms combine endpoint detection, network detection, and other security data into one system with built-in correlation capabilities. Using separate EDR and NDR tools requires manual integration or a SIEM system to achieve similar correlation, while XDR provides this integration automatically.

Which detection method is more critical for preventing ransomware attacks?

Both endpoint and network detection play essential roles in ransomware prevention. Endpoint detection can identify ransomware processes as they begin encrypting files. In contrast, network detection can spot the unusual network activity that often precedes ransomware deployment, such as lateral movement or communication with command-and-control servers.