Yes. I searched specifically for Linux-server EDR performance, and the most important finding is that there is no credible, current, vendor-neutral apples-to-apples benchmark proving one commercial Linux EDR is definitively the lowest-overhead. Most public EDR performance benchmarks are Windows-focused.
Much more compelling than older benchmarks suggest
Elastic Defend
🟢 Low
Worth considering, especially if you already use Elastic
Palo Alto Cortex XDR
🟢–🟡 Low/variable
Benchmark on your workload
Wazuh
🟢–🟡
Very lightweight in some configurations, but not quite equivalent to commercial EDR
🥇 If I had to pick one: CrowdStrike Falcon
CrowdStrike Falcon would be my starting point for a production Linux-server fleet where minimizing overhead is the priority. CrowdStrike's Linux/Kubernetes sensor now uses eBPF by default where supported, and CrowdStrike describes Falcon as a lightweight sensor.
There is also substantial practitioner experience suggesting very low steady-state CPU consumption, although I would not treat those reports as controlled benchmarks. For example, one Linux-server user reported generally <1% CPU, while others observed brief spikes during process-heavy workloads.
🥈 SentinelOne is probably the most important alternative
SentinelOne has unusually good vendor-published Linux performance data. Its Linux/Kubernetes agent v22.1+ reportedly reduced CPU and memory consumption by 40–50% versus its previous 21.x generation. That's not an independent Falcon comparison, but it demonstrates that the current Linux agent is substantially more efficient than its older versions.
Microsoft Defender deserves more consideration than older comparisons imply
The current Microsoft Defender for Endpoint Linux sensor is eBPF-based. Microsoft specifically says this reduces AuditD-related overhead, improves CPU/memory utilization, reduces disk usage, and improves event throughput.
So I would not use older benchmarks showing Defender as relatively heavy to evaluate the current product.
Microsoft does, however, document workload-dependent performance problems, particularly on systems generating large numbers of CPU, disk, memory, file, or syscall events.
The important distinction: ordinary servers vs. high-event-rate servers
For a normal Linux application server, my expectation would be:
But on a server doing millions of operations/sec, the ordering can change dramatically.
For example:
PostgreSQL/MySQL
Elasticsearch/OpenSearch
Kubernetes nodes
CI/CD build servers
high-volume Nginx/Apache
HPC
storage servers
servers with enormous process creation rates
are much more useful test cases than an idle VM.
CrowdStrike itself acknowledges that sensor resource usage depends on the application workload and event volume.
What about Cilium Tetragon / Falco?
If by "EDR" you mean Linux runtime security rather than a conventional enterprise EDR, then the answer changes.
eBPF-native tools such as Cilium Tetragon can have extremely small overhead because filtering occurs close to the kernel. But Tetragon/Falco/Tracee aren't direct substitutes for Falcon or SentinelOne in terms of endpoint prevention, centralized EDR workflows, investigation, response, etc.
So I wouldn't call Tetragon "the lowest-overhead EDR" without qualifying the comparison.
My recommendation
If you're selecting an EDR specifically for Linux servers where performance is critical, I'd run a PoC with:
1. CrowdStrike Falcon 2. SentinelOne Singularity 3. Microsoft Defender for Endpoint with eBPF enabled 4. Elastic Defend
And measure more than average CPU:
CPU utilization / CPU steal
RSS memory
disk read/write IOPS
disk latency
syscall overhead
application throughput
application latency/p99
process creation rate
filesystem-heavy workload
network-heavy workload
full/large-file scans
detection/incident response behavior
Bottom line: If you force me to choose based on the publicly available evidence today, CrowdStrike Falcon is my best bet for the lowest-overhead conventional enterprise EDR on Linux, with SentinelOne extremely close. But I would not claim there is an independent benchmark proving Falcon is #1. The current Defender eBPF implementation is also worth putting into the bake-off, particularly if you're already a Microsoft shop.
If you tell me your Linux distro + workload (e.g. RHEL PostgreSQL, Ubuntu Kubernetes, AWS EC2 web servers, etc.) and approximate server count, I can do a deeper comparison of Falcon vs SentinelOne vs Defender vs Elastic, including published CPU/RAM numbers and a concrete benchmark methodology.
When evaluating agent-based EDR (and runtime security) solutions for Linux servers, eBPF (Extended Berkeley Packet Filter)-based agents consistently achieve the lowest performance overhead.
Traditional kernel-module agents (.ko drivers) force context switches to userspace for heavy packet/syscall parsing, which causes significant CPU overhead. Modern eBPF agents filter and process telemetry directly inside the kernel, resulting in a fraction of the resource footprint.
The top contenders for the lowest performance overhead on Linux break down as follows:
Cilium Tetragon (Open Source / Enterprise) — Lowest Overall Overhead (<1% CPU) . Tetragon performs aggressive in-kernel filtering and enforcement using eBPF. Because it doesn’t pipe every raw syscall out to userspace for processing before making a decision, its resource consumption is virtually unnoticeable, even on high-throughput server and container nodes.
Uptycs (Commercial EDR/XDR) — Lowest Overhead for Enterprise EDR . According to benchmark rankings from the EDR Telemetry Project , Uptycs scores highest in Linux telemetry depth while leveraging a lightweight, eBPF-driven agent architecture that minimizes CPU/memory spikes during continuous monitoring.
CrowdStrike Falcon (for Linux) (Commercial) — Lowest Overhead among Traditional Enterprise EDR Agents . CrowdStrike's modern architecture on Linux utilizes lightweight sensors (often resting at <1% CPU under normal operations) by offloading the heavy analytical lifting to the cloud.
Sysdig Falco (Open Source / Commercial) — Moderate Overhead (5-10%) . While still powered by eBPF, Falco routes more heavy event parsing and rule evaluation through userspace compared to Tetragon, making its performance impact slightly higher (though still manageable for most cloud workloads).
Note: If absolute zero standing resource overhead is your primary goal (at the cost of continuous real-time streaming), agentless options like Sandfly Security perform episodic, non-persistent checks via SSH rather than running a permanent daemon.
If you'd like to narrow this down, tell me:
Are these bare-metal servers, virtual machines, or Kubernetes clusters?
What is your average throughput / IOPS load per server?
I can help recommend the exact architectural fit for your environment.