Endpoint detection and response platforms collect activity from endpoints and evaluate it to identify attacks. The major platforms differ less in whether they detect and more in how they decide: how much analysis runs locally versus in the cloud, how they weight behavioral models against threat intelligence, and how much of the response is automated.
What EDR does
An EDR agent records what happens on an endpoint: process creation, file operations, registry changes, network connections. That telemetry is evaluated against detection logic, and when something matches, the platform raises a detection and in most cases can respond automatically by killing a process, isolating the host or quarantining a file.
The category grew out of a real limitation in signature-based antivirus. Signatures only recognize what has already been catalogued, and attackers change their tooling faster than catalogues update. Behavioral detection asks a better question: not whether this file is known bad, but whether this sequence of actions looks like an attack.
Where the major platforms actually differ
Most enterprise EDR platforms detect competently. The differences that matter to a buyer are usually operational rather than a question of which one detects more.
- Where the analysis happens. Some platforms stream telemetry to a cloud backend where the heavier evaluation runs. Others weight more of the decision on the agent. This affects behavior when connectivity is lost, and it affects how much bandwidth the deployment consumes.
- Intelligence versus behavior. Vendors with large threat research operations lean on adversary tracking and attribution. Others lean harder on behavioral modelling. Both work. The difference shows up in the quality of context you get with a detection, and in how the platform handles a threat nobody has profiled.
- Automation of response. How much the platform does without an analyst is a policy choice with real consequences in both directions. More automation contains faster and risks disrupting legitimate work. Less automation is safer and slower.
- Remediation depth. Some platforms can restore endpoint state after a threat runs, typically using operating system snapshot facilities. Coverage varies by platform, and on Windows this usually depends on Volume Shadow Copy Service.
- Operational cost. Tuning burden, false positive rate and the analyst time a platform actually consumes vary widely, and they are poorly captured by detection benchmarks. This is the dimension buyers most often underweight and most often regret.
Comparisons worth reading
Independent evaluations are more useful than any vendor page, including this one. Three sources worth the time:
- MITRE ATT&CK Evaluations. Published methodology, published results, no scoring or ranking. Read the raw results rather than vendor summaries of them, because almost every vendor can construct a favorable reading of the same data.
- Gartner Peer Insights and similar review platforms. Practitioner reviews surface operational friction that product documentation does not, particularly around tuning burden and support responsiveness.
- Vendor documentation, read directly. Supported operating systems, agent requirements and the conditions under which a capability works are documented, and they are frequently more specific than the marketing above them. If a capability matters to your environment, read the requirements page for it.
What the category structurally does not address
This is the part most comparisons skip, and it applies to every platform in the category rather than to any particular product.
Detection requires that something be recognizable as malicious. That is a design property, not a shortcoming, and behavioral detection stretches it a long way. But three situations sit outside it structurally.
- A valid credential using an approved tool to make a change that is damaging but not, in isolation, recognizable as an attack. Every layer above the kernel sees a legitimate identity doing a legitimate thing.
- An exploit against a vulnerability in software that will not be patched, where detection may identify the resulting malware but the exploit path stays open.
- The window between when an attack becomes possible and when a rule, model or intelligence entry exists to recognize it. That window has narrowed on the attacker side considerably faster than it has on the defender side.
None of this argues against running EDR. Visibility and investigative capability are foundational, and an organization without them has a more urgent problem than anything in this section.
A different category
A small number of products approach the problem from the other direction. Rather than identifying what is malicious, they establish what a system looks like in its authorized state and evaluate every attempted change against it. Application allowlisting is the oldest form of this. Known-good enforcement, which is the category Mimic operates in, extends it from execution to change.
These are not EDR alternatives and treating them as such produces a bad evaluation. They do not investigate, they do not hunt, and they produce no intelligence. What they do is resolve on changes nobody has catalogued, because the question they ask does not depend on recognizing the attack. Most organizations that adopt one run it beneath the detection stack they already have.
EDR platforms, answered.
What is the difference between EDR and antivirus?
+Antivirus identifies known malicious files, historically by signature. EDR records endpoint activity and evaluates behavior, which lets it identify attacks that use no malicious file at all, such as an attacker operating through approved administrative tools. Most enterprise platforms now include both, with the antivirus function as one detection method among several.
Is one EDR platform clearly better than the others?
+Not in a way that generalizes. The major enterprise platforms all detect competently, and published evaluations rarely separate them decisively. The differences that determine whether a deployment succeeds are usually operational: tuning burden, false positive rate, how much analyst time the platform consumes, and whether your team has the staffing to use its depth.
What does EDR not cover?
+Detection requires that something be recognizable as malicious. Three situations sit outside that structurally: a valid credential using an approved tool to make a damaging change, an exploit against software that will not be patched, and the interval between when an attack becomes possible and when a model or intelligence entry exists to recognize it.
Do I need something in addition to EDR?
+It depends on what your remaining exposure looks like. If your gap is visibility or investigation, a better EDR deployment answers it. If your gap is change made by valid credentials, or unpatched software that will never receive a fix, those sit outside what detection structurally addresses and a different control type is worth evaluating.
