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Endpoints are an issue. That doesn’t always mean they need a dedicated solution. And if they do, does that include management and security across layers? We’ve explored CDR as a standalone strategy and tool (today, it’s typically part of cloud-native application protection platforms, or CNAPP, solutions), and hacked out the differences between EDR and CDR. But what about managed detection and response (MDR)? Does it offer better tech outcomes? Let’s map the differences.

What is EDR vs MDR?

First, let’s dial in each term:

EDR is a security solution that monitors and responds to threats on individual endpoints like physical laptops, desktops, and servers, but also cloud-based virtual machines (VMs). EDR provides real-time threat detection, behavioral analysis, and incident response capabilities.

MDR is a managed service, not a software solution. It combines threat detection, monitoring, and response to mitigate security incidents across an organization’s infrastructure, including endpoints, networks, and cloud environments.

In short, there are 2 fundamental differences between the two: 

  1. EDR can be self-managed, while MDR is a service handled by a 3rd-party.
  2. EDR handles endpoints, while MDR often provides broader coverage.

Teams may combine both. They get complementary strengths in EDR’s monitoring with MDR’s broad visibility, and integrating the two means fewer threats go unnoticed. EDR’s endpoint data and MDR’s advanced analytics can improve teams’ ability to detect complicated and multi-stage attacks. 

Adding the 24/7 monitoring and human analysis of MDR can add to EDR’s automated responses for more effective response time and expertise. For instance, an organization with remote and in-office teams might use EDR for endpoint protection but add MDR for threat hunting and expert-driven incident response.

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Benefits and Challenges of EDR and MDR

Protecting endpoints remains a crucial portal to organization resources. Maybe that’s why they continue to be key points of entry (and attack).

Three billion phishing emails are sent every day — totaling more than 1 trillion per year.

Protecting endpoints remains central to cybersecurity. But how to stay safe, without adding complexity and overlap, isn’t so straightforward. Let’s go deeper into the benefits and limitations of each of these tools, including the secondary challenges teams will face post-implementation.

EDR benefits

Ideally, EDR comes with proactive detection and response to threats, ensuring that security teams can act swiftly to protect endpoints and minimize the impact of attacks. Its benefits include:

This CNAPP monitors API activity so endpoints that suspicious activity and anomalies on endpoints are detected early, preventing further spread and lateral movement. Like EDR and MDR, it supports endpoint protection.
This CNAPP monitors API activity so endpoints that suspicious activity and anomalies on endpoints are detected early, preventing further spread and lateral movement.

EDR Limitations

Despite the benefits, EDR is a specific tool for a specific purpose; it comes with limitations in hybrid and cloud environments. Limitations include its:

Secondary Challenges of EDR

Of course, implementing and using any particular solution isn’t always smooth sailing. When using EDR, these secondary challenges also require attention:

MDR Benefits

MDR is a broader alternative to EDR that often works for smaller teams without in-house expertise. Benefits include:

With real-time visibility into workload behaviors, this CNAPP acts as MDR would, applying advanced machine learning to network traffic and cloud resources to hone in on alerts and prioritize those that are critical for quick remediation.
With real-time visibility into workload behaviors, this CNAPP acts as MDR would, applying advanced machine learning to network traffic and cloud resources to hone in on alerts and prioritize those that are critical for quick remediation.

MDR Limitations

Like EDR, MDR also comes with limitations. While it offers protection across the broader ecosystem, it doesn’t secure an entire organization. Limits of MDR include:

Secondary Challenges of MDR

Even while using MDR, issues remain. Teams may find themselves contending with:

EDR vs MDR, XDR, and CNAPP in the Real World

There’s no silver bullet for all environments. But it is possible to find solutions that fit organizational needs. Let’s compare some key differences between EDR, MDR, and similar solutions.

FeatureEDRMDRXDRCNAPP
FocusEndpoint threat detection and responseManaged, expert-driven detection and responseIntegrated detection across endpoints, network, and cloudCloud-native workload and infrastructure security
Real-Time MonitoringYesYesYesYes
Incident ResponseEndpoint-focused response (e.g., isolation, remediation)Managed response, remediation, and forensicsAutomated response and correlation across layersFocuses on cloud-native environments, but can include on-prem and hybrid, automated remediation
Expert-DrivenNo (typically self-managed)YesYes (though often with automation)No (cloud-native tools focus on speed and automation)
Cloud CoverageLimited to cloud endpoints (e.g., VMs)Can cover endpoints and cloud environmentsBroad coverage, including cloud and networkExtensive cloud workload and service coverage
Suitable for Traditional InfrastuctureYesYesYesNo (focus on cloud-native), but can include on-prem and hybrid
Proactive Threat HuntingNoYes (human-driven)Yes (automated and human-driven)No (focused on preventing misconfigurations, vulnerabilities)
Comprehensive Threat CorrelationLimited (focused on endpoint activity)Moderate (uses external monitoring tools)High (cross-layer threat correlation across endpoint, network, cloud)Moderate to High (focused on cloud infrastructure but not necessarily endpoints or networks)
Forensic AnalysisYes (endpoint-specific)Yes (full forensic investigation)Yes (across the entire environment)Limited (focused on cloud-specific issues)

While each of these tools has a unique role to play, each tool in the ecosystem brings its own unique features and strengths, complicating the choice. 

In general, EDR is right for companies with a strong focus on endpoint security, especially those with high endpoint exposure (e.g., remote workforces, BYOD policies), while MDR is the best choice for organizations looking for expert-led, proactive threat hunting and incident response. It’s also a good choice for companies that lack internal security resources or need a managed service to provide 24/7 monitoring and real-time response.

Here’s when to expand the tool search or combine tools.

XDR and CNAPP are frequently considered alongside these security solutions, but they bring their own focus to an organization’s infrastructure: 

XDR is great for integrated threat detection across multiple layers and works well for teams with diverse security needs, like cross-layer threat correlation. It collects and correlates data from various security tools like firewalls, SIEM and cloud security tools on endpoint, network traffic, and cloud resource layers. It may have some coverage at the network and app layers, but for those who want deeper coverage, a CNAPP is a better choice.

Some CNAPPs can also secure network traffic, transport, and application layers, providing real-time monitoring and incident response for cloud-native applications, API security, and network traffic. They can correlate data across security levels, too.

So why combine both? There’s still a place for CNAPP to enhance XDR with advanced security for network traffic and cloud-native workloads for a comprehensive, layered defense, including both network and endpoint levels.

Combine MDR and CNAPP for 24/7 monitoring, expert response, and detection across cloud-native workloads and endpoints. Organizations with cloud-native workloads can use MDR for managed detection across all assets, while CNAPP protects the cloud environment from misconfigurations, vulnerabilities, and runtime threats. They’ll ensure both cloud workloads and endpoints have protection, and they’ll get expert-driven management of both.

Upwind Supports Endpoint Security

Securing API interactions, network traffic, and cloud workloads all play a key role in protecting endpoints and preventing attacks from exploiting vulnerabilities in cloud infrastructure and applications. With advanced machine learning-based behavioral analysis, malicious API requests get flagged early, and with threat detection at layers 3, 4, and 7, Upwind prevents attacks that may originate from compromised endpoints trying to access critical systems and applications. 

By securing runtime environments on premise and in the cloud, Upwind can help detect and automatically remediate threats in real time. Want to see it in action? Schedule a demo.

FAQ

What’s the difference between EDR, XDR, and MDR? 

EDR (Endpoint Detection and Response) focuses on detecting and responding to threats on individual endpoints. XDR (Extended Detection and Response) expands that protection with cross-layer data correlation and response. It includes endpoints, but also networks and cloud resources. MDR (Managed Detection and Response) is a managed service that includes XDR capabilities, but also human expertise from a 3rd-party team rather than XDR’s automated detection and response. 

Is EDR part of MDR?

Yes, EDR is typically a component of MDR. Clients get these EDR components as part of MDR services:

Is EDR better than MDR? 

Since EDR features are typically part of MDR’s managed approach, it isn’t usually considered “better.” But the 2 aren’t directly comparable. EDR is a tool with capabilities that are specific, and which may be “better” for teams looking for a specific solution without the extras that managed security provides. On the other hand, MDR provides EDR’s features and more. MDR may be “better” for teams looking for added features and management.

MDR clients get the capabilities of EDR tools, plus:

Does MDR include SIEM?

Yes, MDR often includes SIEM capabilities or integrates easily with existing SIEM solutions. Many MDR services use SIEM to help provide security monitoring, threat detection, and incident response, aggregating logs and event data from across various layers of infrastructure.