Data as of Sep 19, 2026 · Based on 368 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
For Linux servers requiring the lowest performance impact, 
Brands AI recommends here
Named in 52% of answers
Named in 50% of answers
Best for those prioritizing kernel-level efficiency. It uses eBPF technology to monitor activities with very low impact on CPU and RAM, avoiding the performance penalties of older, more intrusive inspection methods.
Named in 44% of answers
Named in 40% of answers
Source | Citation share |
|---|---|
 The top endpoint detection and response (EDR) tools | Red Canaryhttps://redcanary.com/cybersecurity-101/endpoint-security/top-edr-tools/ | 6.7% |
 Safety and Reliability | Sandfly Securityhttps://sandflysecurity.com/why-sandfly/safety | 4.7% |
Ranked #1 Linux EDR - Uptycshttps://www.uptycs.com/blog/uptycs-linux-edr-leader | 4.4% |
 TOP 10 EDR Tools in 2026 ( Expert Reviewed ) | Worksenthttps://worksent.com/blog/top-edr-tools/ | 3.9% |
 Which EDR/XDR has the best clients for Linux? - Reddithttps://www.reddit.com/r/cybersecurity/comments/1pt5frh/which_edrxdr_has_the_best_clients_for_linux/ | 3.7% |
Advantages of Agentless EDR for Linux | Sandfly Securityhttps://sandflysecurity.com/blog/advantages-of-agentless-edr-for-linux | 3.0% |
 Best EDR solutions in 2026: how the leading platforms comparehttps://www.acronis.com/en/blog/posts/best-edr-endpoint-detection-and-response-solutions-in-2026/ | 2.7% |
Linux EDR Best Practices Guide - Uptycshttps://www.uptycs.com/linux-edr-best-practices-guide-uptycs | 2.6% |
 6 EDR Software for Enhanced Security in 2026https://www.sentinelone.com/cybersecurity-101/endpoint-security/edr-software/ | 2.1% |
The Advantages of Agentless EDR for Linux White Paperhttps://sandflysecurity.com/blog/the-advantages-of-agentless-edr-for-linux-white-paper | 2.0% |
When evaluating agent-based EDR for Linux servers with the lowest performance overhead, the industry has largely shifted away from traditional loadable kernel modules (LKMs)—which are notorious for causing kernel panics or breaking during kernel updates—toward **eBPF (Extended Berkeley Packet Filter)** -based…
When evaluating agent-based EDR for Linux servers with the lowest performance overhead, the industry has largely shifted away from traditional loadable kernel modules (LKMs)—which are notorious for causing kernel panics or breaking during kernel updates—toward eBPF (Extended Berkeley Packet Filter) -based sensors.
Modern eBPF-powered agents run safely in kernel space or trace system events with minimal CPU and memory footprints, bypassing the heavy context-switching penalty of older architectures.
Top-performing options regarding low performance impact and stability on Linux servers include:
(Note: If absolute zero performance overhead on the host is your primary target, agentless scanning approaches like Sandfly Security inspect systems via SSH without leaving a persistent background agent running, though they trade real-time blocking for total absence of runtime overhead.)
To narrow this down to the absolute best fit, tell me:
If **lowest performance overhead on Linux servers** is the primary criterion, there isn't a credible, vendor-neutral benchmark that establishes a universal winner. Most independent EDR performance testing is Windows-based; for example, AV-Comparatives' published performance test explicitly used Windows 10.…
If lowest performance overhead on Linux servers is the primary criterion, there isn't a credible, vendor-neutral benchmark that establishes a universal winner. Most independent EDR performance testing is Windows-based; for example, AV-Comparatives' published performance test explicitly used Windows 10.
That said, for full commercial EDR, my shortlist would be:
| EDR | Linux overhead assessment | Why I'd test it |
|---|---|---|
| CrowdStrike Falcon | Very low | Lightweight sensor; strong candidate for production Linux |
| SentinelOne Singularity | Very low | Strong Linux/eBPF architecture and close competitor |
| Elastic Defend | Low–moderate | Interesting if you already use Elastic |
| Microsoft Defender for Endpoint | Variable | Can be efficient, but Microsoft documents workload-dependent Linux performance issues |
| Cortex XDR | Low–moderate | Worth testing in a Palo Alto environment |
The important distinction is that these are expectations, not apples-to-apples measurements. A recent independent comparison I found is useful for general EDR efficacy, but it doesn't provide a Linux-specific overhead comparison.
For a conventional enterprise EDR, I'd benchmark CrowdStrike Falcon and SentinelOne Singularity first. I would not state that Falcon is definitively the lowest-overhead Linux EDR based on the publicly available evidence.
The workload matters enormously. EDR overhead can become much more significant on:
For example, Broadcom documents cases where Linux EDR's CPU consumption becomes elevated when event volume is exceptionally high, and recommends exclusions/tuning for event-heavy processes.
I'd also distinguish full EDR from Linux runtime-security/eBPF sensors. eBPF-native products can potentially impose substantially less overhead because of where telemetry is collected, but they aren't necessarily equivalent to a mature EDR in investigation, behavioral detection, containment, and response.
So my recommendation for a performance-sensitive Linux fleet would be:
Don't benchmark just the agent's CPU percentage. Measure application throughput/latency, CPU time, RSS, disk I/O, syscall overhead, and workload performance with the agent in its intended production configuration.
If you give me your Linux distro + workload (e.g. RHEL 9/PostgreSQL, Ubuntu/Kubernetes, etc.), I can narrow this down and compare the agents specifically for that workload, including their kernel/eBPF architecture and published Linux resource-consumption data.
If **lowest performance overhead on Linux servers** is your primary criterion, I would **shortlist CrowdStrike Falcon and SentinelOne Singularity first**, but I would not claim there is a definitive industry benchmark proving one is universally #1. ### My practical ranking EDR | Linux overhead | My take
If lowest performance overhead on Linux servers is your primary criterion, I would shortlist CrowdStrike Falcon and SentinelOne Singularity first, but I would not claim there is a definitive industry benchmark proving one is universally #1.
| EDR | Linux overhead | My take |
|---|---|---|
| CrowdStrike Falcon | 🟢 Very low | My first choice to benchmark |
| SentinelOne Singularity | 🟢 Very low | Closest competitor |
| Microsoft Defender for Endpoint | 🟢–🟡 Low/variable | Much more interesting now with eBPF |
| Palo Alto Cortex XDR | 🟢–🟡 Low | Worth testing |
| Elastic Defend | 🟢–🟡 Low | Particularly attractive if you already use Elastic |
| Wazuh | 🟡 Variable | Configuration/event volume matters considerably |
The important caveat is that there isn't a good vendor-neutral benchmark comparing these agents on identical Linux workloads. Most published "EDR performance" benchmarks are Windows-oriented. So I'd treat claims that Falcon is proven to be the lowest-overhead Linux EDR skeptically.
I'd actually put Microsoft Defender for Endpoint higher on your evaluation list than I would have previously. Microsoft now offers an eBPF-based Linux sensor designed to improve CPU/memory utilization and reduce disk usage compared with its previous event collection approach. Microsoft explicitly describes the current Linux product as using a lightweight eBPF architecture without kernel modules.
That doesn't establish that Defender beats Falcon, though. Microsoft also acknowledges that high-CPU, high-I/O and high-file-activity workloads can experience performance problems and provides specific diagnostic/tuning mechanisms.
If you told me:
"I have production Linux servers and EDR overhead is more important than almost anything else." I'd run a PoC in this order:
For database servers, Kubernetes nodes, high-throughput web servers, CI/build servers, or HPC, I would absolutely benchmark rather than rely on generic rankings. The difference between agents can be small on an ordinary application server but significant when the machine generates millions of filesystem/process/network events.
One other caution: I wouldn't use Wazuh's published performance figures as a direct comparison to commercial EDRs—their measurements can involve substantial event-processing workloads, and their architecture/use case isn't identical to Falcon/SentinelOne.
Bottom line: Falcon is my initial bet for the lowest-overhead conventional enterprise EDR on Linux, with SentinelOne extremely close. But if you're choosing specifically for very performance-sensitive Linux servers, Defender's current eBPF implementation deserves a bake-off too.
If you tell me what Linux workloads you run (Kubernetes, PostgreSQL, Nginx, VM hosts, etc.) and roughly how many servers, I can give you a much more useful CPU/RAM/disk-I/O comparison and a concrete PoC test plan.
**Uptycs and HarfangLab** offer the lowest performance overhead among agent-based Linux EDR solutions by leveraging modern **eBPF (Extended Berkeley Packet Filter)** telemetry rather than relying on legacy kernel…
Uptycs and HarfangLab offer the lowest performance overhead among agent-based Linux EDR solutions by leveraging modern eBPF (Extended Berkeley Packet Filter) telemetry rather than relying on legacy kernel modules.
Traditional kernel-level EDR agents intercept system calls via loadable kernel modules (LKMs), which can introduce latency, cause kernel panics during updates, and consume higher CPU resources. Modern eBPF-based agents execute sandboxed programs inside the kernel safely and efficiently, drastically reducing context switches and resource consumption.
If you'd like, let me know:
I can help narrow down which agent fits your specific performance constraints.
If **lowest performance overhead on Linux servers** is the primary criterion, my answer is: ### Short answer **CrowdStrike Falcon** is the first commercial EDR I would benchmark, with **SentinelOne Singularity** as the closest alternative.
If lowest performance overhead on Linux servers is the primary criterion, my answer is:
CrowdStrike Falcon is the first commercial EDR I would benchmark, with SentinelOne Singularity as the closest alternative.
However, I would not claim that Falcon is definitively the lowest-overhead Linux EDR. There is no strong, vendor-neutral benchmark comparing the major EDRs specifically on Linux server workloads. The widely cited independent AV-Comparatives performance tests are Windows-based, so they don't answer this question directly.
My practical shortlist:
| EDR | Linux overhead expectation | My assessment |
|---|---|---|
| CrowdStrike Falcon | 🟢 Very low | Best starting point |
| SentinelOne Singularity | 🟢 Very low | Closest competitor |
| Elastic Defend | 🟢 Low | Particularly interesting if using Elastic |
| Palo Alto Cortex XDR | 🟢–🟡 Low | Worth benchmarking |
| Microsoft Defender for Endpoint | 🟡 Variable | Can require tuning on I/O-heavy servers |
| VMware Carbon Black | 🟡 Variable | I'd test carefully for Linux workloads |
Falcon's architecture emphasizes a relatively lightweight endpoint sensor with substantial analytics performed off-host. In practice, it has a strong reputation for being unobtrusive on production servers.
SentinelOne is very close, though. Its Linux/Kubernetes agent makes extensive use of eBPF, and SentinelOne has reported substantial CPU/memory reductions in newer Linux agents.
One important warning: don't extrapolate Windows EDR benchmarks to Linux. The workload characteristics are very different.
There's an important distinction between full enterprise EDR and Linux-native runtime detection using eBPF.
eBPF-based agents can achieve exceptionally low kernel overhead. For example, one recent experimental Linux EDR framework reported <2% CPU overhead under high load. Zenodo But that's not evidence that the product is equivalent to Falcon/SentinelOne in detection, response, management, and maturity.
Likewise, independent testing of Linux runtime-security tools has shown how dramatically implementation matters: in one controlled benchmark, Tetragon's file/network overhead was close to baseline, whereas Falco imposed substantially more overhead for the tested file/network operations.
If you're choosing specifically for performance-sensitive servers, I'd run a bake-off of:
And measure on your actual workload:
This matters enormously. An EDR that's nearly invisible on an Nginx server can have a measurable impact on a PostgreSQL server, CI builder, Elasticsearch node, or Kubernetes worker.
My bottom line: for a conventional commercial EDR on Linux, I'd start with CrowdStrike Falcon, then directly compare it with SentinelOne. If absolute overhead is more important than having a traditional full-featured EDR, I'd also investigate eBPF-native Linux security agents rather than restricting the evaluation to the major EDR vendors.
If you tell me whether these are Kubernetes, PostgreSQL/MySQL, web servers, VM hosts, HPC, or general-purpose Linux servers, I can give you a much more useful Falcon vs. SentinelOne vs. Defender vs. Cortex vs. Elastic performance comparison, including the specific CPU/RAM/I/O characteristics to expect.
SentinelOne is very close, though. Its Linux/Kubernetes agent makes extensive use of eBPF, and SentinelOne has reported substantial CPU/memory reductions in newer Linux agents.
One important warning: don't extrapolate Windows EDR benchmarks to Linux. The workload characteristics are very different.
There's an important distinction between full enterprise EDR and Linux-native runtime detection using eBPF.
eBPF-based agents can achieve exceptionally low kernel overhead. For example, one recent experimental Linux EDR framework reported <2% CPU overhead under high load. Zenodo But that's not evidence that the product is equivalent to Falcon/SentinelOne in detection, response, management, and maturity.
Likewise, independent testing of Linux runtime-security tools has shown how dramatically implementation matters: in one controlled benchmark, Tetragon's file/network overhead was close to baseline, whereas Falco imposed substantially more overhead for the tested file/network operations.
If you're choosing specifically for performance-sensitive servers, I'd run a bake-off of:
And measure on your actual workload:
When it comes to **agent-based** Linux EDR and runtime security tools, there is no single "absolute winner" stamped by independent third-party testers like AV-Test or SE Labs specifically for Linux server overhead. However, technical consensus and benchmark profiles point clearly to modern **eBPF-driven (Extended…
When it comes to agent-based Linux EDR and runtime security tools, there is no single "absolute winner" stamped by independent third-party testers like AV-Test or SE Labs specifically for Linux server overhead. However, technical consensus and benchmark profiles point clearly to modern eBPF-driven (Extended Berkeley Packet Filter) agents as the class with the absolute lowest performance footprint.
Among commercial and open-source agent-based options, the performance hierarchy leans heavily toward eBPF implementations over legacy kernel-module (kmod) approaches.
If your goal is absolute minimum performance overhead and maximum host stability, how the agent hooks into the Linux kernel matters more than the brand name:
Note: If absolute zero idle overhead is your ultimate metric and you don't require real-time blocking, organizations often pivot away from agent-based solutions entirely toward agentless scanners (like Sandfly Security ), which sit dormant with 0% CPU/RAM usage and spin up only during brief intermittent checks.
If you'd like to narrow this down, tell me:
I can tailor the exact performance trade-offs for your specific environment.
If **lowest performance overhead on Linux servers** is the primary criterion, my current shortlist would put **CrowdStrike Falcon** and **SentinelOne Singularity** at the top, with Falcon as the first one I would benchmark. The important caveat: **there is no good, recent, independent apples-to-apples benchmark of EDR…
If lowest performance overhead on Linux servers is the primary criterion, my current shortlist would put CrowdStrike Falcon and SentinelOne Singularity at the top, with Falcon as the first one I would benchmark.
The important caveat: there is no good, recent, independent apples-to-apples benchmark of EDR agents on Linux server workloads. Most published EDR performance tests are Windows-focused, so claims that one agent is definitively “the lightest” should be treated cautiously.
| EDR | Expected overhead | My take |
|---|---|---|
| CrowdStrike Falcon | 🟢 Very low | Best candidate for minimum overhead |
| SentinelOne Singularity | 🟢 Very low | Very close competitor |
| Elastic Defend | 🟢 Low | Particularly attractive if already using Elastic |
| Microsoft Defender for Endpoint | 🟡 Low–moderate | Good, but workload tuning may be necessary |
| Cortex XDR | 🟡 Low–moderate | Worth benchmarking |
| Wazuh | 🟡 Variable | Can be lightweight, but configuration/modules matter substantially |
CrowdStrike's architecture does relatively little heavyweight behavioral analysis locally, which is one reason it is commonly regarded as a very lightweight endpoint sensor. However, I would not interpret that as a measured Linux benchmark result—the independent evidence simply isn't strong enough to establish a definitive winner.
SentinelOne is probably the most important alternative to test. SentinelOne reports that its Linux/Kubernetes agent version 22.1+ reduced CPU and memory usage by roughly 40–50% versus its previous 21.x generation. That's vendor-reported rather than an independent comparison, but it demonstrates that the current agent is substantially more efficient than older versions.
Microsoft Defender for Endpoint is more difficult to characterize as “lightest.” Microsoft explicitly provides performance-tuning guidance for Linux, including identifying high-event-rate processes and applying exclusions. Its newer eBPF-based sensor reduces overhead associated with AuditD and improves CPU/memory utilization and file-event monitoring.
Wazuh deserves a distinction: its agent is advertised at roughly 35 MB average RAM, but Wazuh is more of an HIDS/XDR platform than a directly comparable commercial EDR, and its resource consumption can vary considerably depending on enabled modules, FIM, vulnerability detection, log collection, etc.
If you're running high-throughput databases, Kubernetes nodes, Elasticsearch, Kafka, storage servers, or latency-sensitive applications, I would not select an EDR based on generic “CPU %” claims.
I'd run a controlled bake-off:
Bottom line: if you told me “I need the lowest-overhead commercial EDR for a fleet of Linux production servers”, I'd PoC CrowdStrike Falcon first, SentinelOne second. I would expect the difference between those two to be much smaller than the difference caused by workload, exclusions, kernel version, and which protection/telemetry features are enabled.
If you tell me which Linux distributions/workloads you have (e.g. RHEL 9 + PostgreSQL, Ubuntu + Kubernetes, etc.) and roughly how many servers, I can do a deeper comparison of Falcon vs SentinelOne vs Defender vs Elastic specifically for that environment.
CrowdStrike's architecture does relatively little heavyweight behavioral analysis locally, which is one reason it is commonly regarded as a very lightweight endpoint sensor. However, I would not interpret that as a measured Linux benchmark result—the independent evidence simply isn't strong enough to establish a definitive winner.
SentinelOne is probably the most important alternative to test. SentinelOne reports that its Linux/Kubernetes agent version 22.1+ reduced CPU and memory usage by roughly 40–50% versus its previous 21.x generation. That's vendor-reported rather than an independent comparison, but it demonstrates that the current agent is substantially more efficient than older versions.
Microsoft Defender for Endpoint is more difficult to characterize as “lightest.” Microsoft explicitly provides performance-tuning guidance for Linux, including identifying high-event-rate processes and applying exclusions. Its newer eBPF-based sensor reduces overhead associated with AuditD and improves CPU/memory utilization and file-event monitoring.
Wazuh deserves a distinction: its agent is advertised at roughly 35 MB average RAM, but Wazuh is more of an HIDS/XDR platform than a directly comparable commercial EDR, and its resource consumption can vary considerably depending on enabled modules, FIM, vulnerability detection, log collection, etc.
If you're running high-throughput databases, Kubernetes nodes, Elasticsearch, Kafka, storage servers, or latency-sensitive applications, I would not select an EDR based on generic “CPU %” claims.
When it comes to Linux server protection, **eBPF-based (Extended Berkeley Packet Filter) runtime security and EDR agents** consistently deliver the lowest performance overhead compared to traditional kernel-module (LKM) or heavy user-space polling agents. By executing security logic safely inside the Linux kernel via…
When it comes to Linux server protection, eBPF-based (Extended Berkeley Packet Filter) runtime security and EDR agents consistently deliver the lowest performance overhead compared to traditional kernel-module (LKM) or heavy user-space polling agents.
By executing security logic safely inside the Linux kernel via eBPF—avoiding costly context switches between user space and kernel space—these agents typically run with under 1% to 2% CPU overhead , even on high-throughput production servers.
The top-performing options categorized by architecture and performance impact include:
If you require an enterprise-backed commercial EDR with a unified dashboard and formal support rather than open-source cloud-native tooling:
To help narrow down the best fit, tell me:
If **lowest performance overhead on Linux servers** is the primary criterion, my current recommendation is **CrowdStrike Falcon**, with **SentinelOne Singularity** as the closest alternative. The important caveat: there is **no credible, vendor-neutral benchmark that proves one commercial Linux EDR is universally the…
If lowest performance overhead on Linux servers is the primary criterion, my current recommendation is CrowdStrike Falcon, with SentinelOne Singularity as the closest alternative.
The important caveat: there is no credible, vendor-neutral benchmark that proves one commercial Linux EDR is universally the lowest-overhead. Most published EDR performance testing is Windows-focused; for example, AV-Comparatives' performance test explicitly used Windows 10.
| EDR | Linux overhead expectation | My assessment |
|---|---|---|
| CrowdStrike Falcon | 🟢 Very low | First choice to benchmark |
| SentinelOne Singularity | 🟢 Very low | Closest competitor |
| Elastic Defend | 🟢 Low | Particularly interesting if you already use Elastic |
| Palo Alto Cortex XDR | 🟢–🟡 Low | Worth testing |
| Microsoft Defender for Endpoint | 🟡 Variable | Can be efficient, but workload-dependent |
| Sophos Intercept X | 🟠 Variable | I wouldn't select it primarily for minimum overhead |
CrowdStrike and SentinelOne are the two I'd put head-to-head. Modern Linux EDR architectures increasingly use eBPF/kernel telemetry rather than older approaches that can impose heavier overhead. Independent material also notes that the workload and telemetry configuration can matter more than the nominal product choice.
There's an important distinction.
If you need full commercial EDR—behavioral detection, investigation, containment, response, etc.—I'd choose Falcon as the first PoC.
If you primarily need Linux runtime threat detection with minimal CPU impact, an eBPF-native security sensor can potentially be lighter than a conventional EDR. Research implementations report sub-2% CPU overhead under high-load conditions, although these aren't equivalent to mature commercial EDR products.
For production Linux servers, I'd run a controlled bake-off of:
Measure CPU time, RSS memory, disk I/O, syscall overhead, application latency and workload throughput, rather than simply looking at the agent's %CPU in top.
This is particularly important for PostgreSQL/MySQL, Kubernetes, high-IOPS storage, Elasticsearch, CI/build servers and HPC. An agent that is essentially invisible on an ordinary web server can have a measurable effect on a syscall- or I/O-intensive workload. There are, for example, documented cases of Linux security components producing substantial CPU consumption under particular workloads/configurations.
Bottom line: For a conventional enterprise EDR on Linux, I'd start with CrowdStrike Falcon if performance overhead is your #1 requirement, and benchmark it directly against SentinelOne. I would not claim Falcon is scientifically proven to be #1 without testing your specific workload.
If you tell me your distro (RHEL/Ubuntu/SUSE/etc.), workload (Kubernetes/database/web/HPC), and approximate server count, I can narrow this down considerably and compare the Linux agents' CPU, RAM, disk-I/O and kernel/eBPF architectures.
If you need full commercial EDR—behavioral detection, investigation, containment, response, etc.—I'd choose Falcon as the first PoC.
If you primarily need Linux runtime threat detection with minimal CPU impact, an eBPF-native security sensor can potentially be lighter than a conventional EDR. Research implementations report sub-2% CPU overhead under high-load conditions, although these aren't equivalent to mature commercial EDR products.
When it comes to **agent-based** EDR solutions for Linux servers, the lowest performance overhead typically belongs to modern agents built on **eBPF (Extended Berkeley Packet Filter)** architecture rather than traditional kernel-module (kpatch/LKM) or heavy user-space hooking approaches. Modern eBPF-driven agents…
When it comes to agent-based EDR solutions for Linux servers, the lowest performance overhead typically belongs to modern agents built on eBPF (Extended Berkeley Packet Filter) architecture rather than traditional kernel-module (kpatch/LKM) or heavy user-space hooking approaches.
Modern eBPF-driven agents execute telemetry collection directly in the kernel space safely, eliminating heavy context switches and drastically minimizing CPU/RAM footprints.
Top Contenders for Lowest Performance Overhead on Linux
- **Why it's low overhead:** Uptycs utilizes an eBPF-powered architecture combined with an optimized osquery framework. It consistently ranks at the top of independent evaluations like the *EDR Telemetry Project* for deep Linux visibility combined with extreme efficiency.
- **Performance impact:** Minimal CPU and memory usage, optimized explicitly to scale across massive fleets of enterprise Linux and container workloads without affecting critical production uptime.[](https://www.uptycs.com/linux-edr-best-practices-guide-uptycs) [[1]](https://www.uptycs.com/linux-edr-best-practices-guide-uptycs)[[2]](https://www.uptycs.com/blog/uptycs-linux-edr-leader)[[3]](https://in.linkedin.com/in/gautham92)
- **Why it's low overhead:** Built completely natively for eBPF from the ground up, Tetragon provides real-time, security-observability and enforcement at the kernel level. While more of a security/runtime enforcement and telemetry engine than a traditional commercial EDR out-of-the-box, it represents the absolute floor of performance overhead for Linux-native monitoring.
- **Performance impact:** Near-zero measurable overhead compared to user-space or legacy kernel-module agents.
- **Why it's low overhead:** CrowdStrike has long optimized its lightweight single-agent architecture. By leveraging modern kernel telemetry options (and transitioning heavily toward eBPF support on modern Linux kernels), it avoids heavy signature scanning on the host.
- **Performance impact:** Generally regarded in enterprise environments as having one of the lightest footprints among legacy commercial heavyweights (outperforming Microsoft Defender for Endpoint or SentinelOne on Linux in raw resource footprint during steady-state operations).
Alternative Paradigm: Agentless Options
If absolute zero continuous performance overhead is your primary goal (i.e., zero CPU/RAM consumption during steady-state), agent-based architectures might not be your best fit. You may want to evaluate Agentless EDR solutions for Linux, such as Sandfly Security . Agentless tools log via SSH only when running temporary, low-priority forensic sweeps, leaving 0% persistent CPU/RAM overhead when idle.
To help narrow this down, could you share: