Skip to content
Real-World EDR Examples: How Modern Tools Detect Ransomware, Malware & Lateral Movement

Real-World EDR Examples: How Modern Tools Detect Ransomware, Malware & Lateral Movement

Huntress • June 16, 2026

EDR continuously monitors endpoint systems—laptops, desktops, and servers—for suspicious activity. Unlike traditional antivirus software, modern EDR software doesn't try to detect malware using signatures. Instead, it looks for suspicious behaviors.

Examples of things EDR tools look for include:

Every modern EDR solution includes several key features that distinguish it from traditional antivirus software:

Detection only solves half the problem. Once EDR detects suspicious activity, it doesn't simply log the event and carry on business as usual—it acts on it. Depending on your security product and configuration, this can happen automatically or by an analyst.

Examples of automatic responses are isolating a compromised endpoint from the network, terminating malicious processes, and restoring files changed by ransomware. For analysts, response means triaging alerts, scoping the incident, and determining if escalation is needed.

The most commonly used EDRs also include a lot of complexity and cost—and for businesses without a dedicated security team, that often means alerts go uninvestigated, tools go underutilized, and threats go undetected. And then there's Huntress: Managed EDR backed by a fully-staffed AI-centric SOC , built for the resource-constrained IT and security teams that traditional businesses and enterprise products overlook.

Here are two scenarios where even the best EDR solution can be bypassed:

When an attacker uses stolen credentials and behaves like a legitimate user, endpoint telemetry may show nothing unusual. There's no malicious process. No suspicious file access. Just a valid login. This is why identity threat detection and response (ITDR) exists, and why identity-based attacks now drive over 40% of security incidents , with more than half of organizations hit by business email compromise in the past year.

Too many alerts are a real problem, especially for organizations without full-time security teams. Hunting through logs and separating real threats from false positives is a nightmare for security analysts. Without people to investigate, even the best EDR tool collects data that no one ever acts on.

When shopping for EDR tools examples to evaluate, you'll hear the usual metrics: detection rates, false positives, ease of install, and integration with your existing stack. But there's one crucial element that organizations tend to undervalue: What happens after you detect something?

If your security analyst isn't seeing and acting on priority alerts quickly enough to contain a threat before it spreads, it doesn't matter how many indicators your EDR can technically detect. Across many examples of EDR deployments, prioritization, investigation, and scope determination are often neglected pieces of the puzzle, and the right EDR solution is the one that gets the right alert to the right person fast enough to matter.

There's no one-size-fits-all answer. If you've hired a dedicated security expert to run your program, you've likely got this decision covered.

But if you're a small or mid-sized business, or an MSP supporting SMBs and enterprises alike, here's the honest take: Just getting an EDR tool isn't enough.

Too many EDR tools collect data with no one to analyze it. That's why Huntress pairs automated EDR monitoring with 24/7 threat hunting and analysis by a team of security operations center (SOC) experts. Huntress EDR prioritizes alerts so your team responds to the threats that matter, not noise.

Plus, when you layer Huntress Managed ITDR alongside Managed EDR, Huntress detects compromises that traditional endpoint telemetry alone would miss—especially identity-based attacks like account takeovers, credential theft, malicious inbox rules, and rogue OAuth apps in Microsoft 365 and Google Workspace.

Get a demo of the Huntress platform and see how Managed EDR and Managed ITDR work together to protect your endpoints and identities.

Extracted Entities