# Elkeid: ByteDance's Cloud Workload Protection Platform for Hosts, Containers and K8s

> Elkeid is an open source HIDS, RASP and K8s audit collection platform derived from ByteDance's internal tooling. The on-device and backend layers match the internal build, but the rule engine ships as a community edition with only a small number of example policies.

**bytedance/Elkeid** — Elkeid is an open source solution that can meet the security requirements of various workloads such as hosts, containers and K8s, and serverless. It is derived from ByteDance's internal best practices.

- Repository: https://github.com/bytedance/Elkeid
- Website: https://elkeid.bytedance.com
- Stars: 2,679 · Forks: 474
- Language: Go
- License: not declared
- Published: 2026-09-28 · Updated: 2026-09-28 · Language: en
- Canonical page: https://hysenlabs.com/projects/bytedance-elkeid

## What Elkeid solves and who it is built for

Elkeid targets a specific operational mess: an estate that is multi-cloud, cloud-native, and running several workload types at once. The README frames the project as a response to that, saying the team wanted one solution that could cover the security requirements under different workloads. In practice that means Linux hosts, the containers on those hosts, Kubernetes itself, and serverless.

The intended user is a security engineering team, not an individual developer. Running Elkeid means operating an agent on every host, a kernel driver, an agent center, service discovery, a manager, a console and a separate rule engine. The README describes the on-device capabilities (data and asset collection, kernel-state collection, RASP probes) and the backend capabilities (agent center, service discovery) as consistent with ByteDance's internal version. The rule engine is where the two diverge.

The README is direct about that gap. It states that the open source version differs from the full version, and that the community edition of Elkeid HUB is provided with a small number of strategies as examples. It then says that complete anti-intrusion and risk perception requires building policies on Elkeid HUB and doing secondary processing of the collected data. That sentence is the honest scope statement of the project: Elkeid gives you collection and plumbing, and expects you to supply the detection logic.

## Agents, driver, RASP probes and the backend split

The architecture divides into an on-device half and a backend half. On the device, Elkeid Agent is a Linux userspace agent that manages plugins and talks to Elkeid Server. Elkeid Driver collects data in the Linux kernel and supports container runtimes; it communicates with the Driver Plugin rather than with the agent directly. Elkeid RASP supports CPython, Golang, JVM, NodeJS and PHP runtime probes, and the README states it supports dynamic injection into the runtime.

The plugin list is where the collection surface becomes concrete. Driver Plugin manages the driver and processes its data. Collector Plugin gathers assets and log information from the Linux system, including user lists, crontab and package information. Journal Watcher monitors systemd logs and currently supports ssh-related log collection and reporting. Scanner Plugin does static detection of malicious files and currently supports yara. RASP Plugin manages the RASP components and their data. Baseline Plugin checks baseline risks against baseline check policies.

On the backend, AgentCenter communicates with agents, collects their data, does simple processing, and sums it into the MQ. It also handles agent management: upgrades, configuration changes and task distribution. ServiceDiscovery keeps each backend component registered and synchronised so instances in different service modules can see each other and communicate directly. Manager handles backend management and exposes query and management APIs. Console is the front end, and HUB is the rule engine, hosted in a separate repository (bytedance/Elkeid-HUB).

One design consequence is worth naming. Because AgentCenter is the aggregation point for agent data and also the control plane for upgrades and configuration, it is a single component that carries both data-plane and control-plane duties. The README does not describe how AgentCenter behaves when the MQ is unavailable, so anyone planning a deployment should treat that path as something to verify rather than assume.

## Installing Elkeid and getting to a first collected event

The repository keeps deployment material under elkeidup/ and docs/, and the README links a data usage tutorial at elkeidup/raw_data_usage_tutorial/raw_data_usage_tutorial-zh_CN.md. The README itself does not print an install command sequence, so the honest starting point is the repository tree rather than a copy-paste block.

Clone the repository with submodules, because the project uses a .gitmodules file and HUB lives in a separate repository:

```bash
git clone --recurse-submodules https://github.com/bytedance/Elkeid.git
cd Elkeid
```

After cloning, read the deployment material before running anything. The relevant directories are:

```bash
ls elkeidup
ls server/docs
```

What you should see is the deployment tooling under elkeidup/ and the server-side documentation under server/docs/, including the architecture diagram referenced by the README as server/docs/server_new.png. The data format reference is server/docs/ElkeidData.xlsx, which is the file to open when you need to know what fields the agent actually emits.

The first real use is not a dashboard click. It is standing up AgentCenter and ServiceDiscovery, installing Elkeid Agent on one Linux host, and confirming that data reaches the MQ. The README's component list tells you which pieces are involved: agent/, driver/, plugins/driver, server/agent_center, server/service_discovery, server/manager and server/web_console. Until the agent registers and the driver plugin reports, the console has nothing to show.

For the rule side, HUB is a separate repository. The README names it as Elkeid HIDS RuleEngine and links to bytedance/Elkeid-HUB. The community edition ships example strategies only, so the first policy you write is your own, not one you inherit.

## Where the community edition stops

The README includes a function table comparing the community and enterprise editions, and it is the most useful page in the project for anyone doing an adoption decision. Several rows are marked as enterprise-only, including extortion bait, asset collection enhancements, and exposure and vulnerability analysis. The table is truncated in the README text, so treat it as a starting point and check the current README before planning around any specific row.

The larger limitation is the rule engine. The README states plainly that the community edition of Elkeid HUB is provided with a small number of strategies as an example, and that complete anti-intrusion and risk perception requires constructing policies on HUB and performing secondary processing of the data Elkeid collects. That is a real engineering commitment. A team expecting a product that detects and alerts on day one will find collection without detection.

There is a second boundary worth stating. The on-device side is Linux. Elkeid Agent is described as a Linux userspace agent, Elkeid Driver collects data on the Linux kernel, and the collector gathers Linux system information. The README does not describe a Windows or macOS agent. If your estate is mostly Windows endpoints, this is the wrong tool, and no amount of backend configuration changes that.

Finally, the licence identifier is not stated in the repository files that are visible. The repository has a CODE_OF_CONDUCT.md and a .github/ directory, but the licence terms are not something this article can confirm. Anyone deploying this in a commercial environment should read the repository's licence file directly rather than infer terms from the description.

## Elkeid against a general-purpose EDR agent

The obvious alternative for many teams is a commercial EDR product, and the difference is not feature count. It is where the detection logic lives. A commercial EDR ships a vendor-maintained detection content pipeline: signatures, behavioural rules and tuning arrive as updates. Elkeid ships the collection layer and a rule engine, and the README says the operator builds the policies.

That trade is deliberate. Kernel-level collection plus a rule engine you control means you can express detections the vendor never wrote, and you can route the raw data into your own systems. The README notes that HUB can be linked with external systems, which is the point: Elkeid is designed to sit inside an existing security stack rather than replace it with a closed appliance.

The cost is that you own detection quality. A team without security engineers who can write and maintain HUB policies will get less value from Elkeid than from a product with curated content, even though Elkeid collects more. The README's own framing supports this: it describes what the community edition provides and then states what the operator still has to do.

A second comparison point is scope. Elkeid covers hosts, containers, Kubernetes audit logs and serverless workloads in one platform, and the README presents multi-component capability association as a goal. A narrower tool that only does host intrusion detection will be simpler to operate, but it will not give you the Kubernetes audit log path or the RASP probes for CPython, Golang, JVM, NodeJS and PHP that Elkeid includes.

## Maintenance, upgrades and what the release history shows

The repository is not archived, and the last push was on 2026-05-11. That is recent enough that the codebase is being touched, though the release tags tell a more specific story about what is being shipped.

The most recent releases listed are scanner-v2.2.0.2-20241226_1_test_only from 2024-12-26, v1.7.0.22 from 2024-12-24, and scanner-v2.2.0.1-20241217_1_test_only from 2024-12-17. Two of the three carry a test_only suffix, which suggests the scanner component is being published for testing rather than as a stable release. The main line release is v1.7.0.22. Anyone planning upgrades should distinguish between the two: pulling a test_only scanner tag into production is a choice the tag name argues against.

The upgrade path itself runs through AgentCenter, which the README describes as responsible for agent upgrade and configuration modification. That means agent version management is a server-side operation rather than something you do host by host. The README does not document rollback behaviour for a failed agent upgrade, so a staged rollout is the prudent approach and the rollback procedure is something to establish from the code before you need it.

On licence, the repository does not state an identifier in the files that are visible. The practical implication is that you cannot assume permissive terms. Read the licence file in the repository before distributing the agent or embedding it in a product.

## Conclusion

Adopt Elkeid if you run Linux hosts and containers at a scale where kernel-level collection and a Kubernetes audit pipeline are worth operating yourself, and you have engineers who will write Elkeid HUB policies. Do not adopt it if you need a finished detection product out of the box: the community edition ships the rule engine with only a small number of example strategies, and extortion bait, asset collection enhancements and exposure and vulnerability analysis are marked as enterprise-only in the README's function table. Before committing, verify which components the open source build actually includes against that table, and confirm the licence terms for the repository, since the licence identifier is not stated in the repository's own files.

## FAQ

### What is Elkeid and what does it protect?

Elkeid is an open source cloud workload protection platform derived from ByteDance's internal practices. The README describes it as covering hosts, containers, Kubernetes and serverless, with HIDS, RASP probes, K8s audit log collection and a rule engine called Elkeid HUB.

### How do I install Elkeid?

The README does not print an install command sequence. Deployment material lives under elkeidup/ and server/docs/ in the repository, and the README links a raw data usage tutorial at elkeidup/raw_data_usage_tutorial/raw_data_usage_tutorial-zh_CN.md. The repository uses git submodules, so clone with --recurse-submodules.

### Does the Elkeid community edition include detection rules?

It includes a community edition of Elkeid HUB with a small number of strategies as examples. The README states that complete anti-intrusion and risk perception requires constructing policies on Elkeid HUB and performing secondary processing of the data Elkeid collects.

### What is the difference between the Elkeid community edition and the enterprise edition?

The README's function table marks several capabilities as enterprise-only, including extortion bait, asset collection enhancements, and exposure and vulnerability analysis. The on-device and backend capabilities are described as consistent with ByteDance's internal version, while the rule engine is the community edition.

### Does Elkeid support Windows or macOS hosts?

The README describes Elkeid Agent as a Linux userspace agent and Elkeid Driver as collecting data on the Linux kernel, with the collector gathering Linux system information. No Windows or macOS agent is described.

## Sources

- [bytedance/Elkeid on GitHub](https://github.com/bytedance/Elkeid)
- [Issues](https://github.com/bytedance/Elkeid/issues)
- [Project website](https://elkeid.bytedance.com)
- [README](https://github.com/bytedance/Elkeid/blob/main/README.md)
- [Releases](https://github.com/bytedance/Elkeid/releases)

---

Hysen Labs editorial analysis, written from the project's own repository and release notes. Cite the canonical page: https://hysenlabs.com/projects/bytedance-elkeid