No proprietary hardware
Nothing to buy from us but the software. Bring your own machine.
Your hardware. Your infrastructure. Darkmoon. Transform compatible infrastructure into a dedicated Darkmoon security appliance, without proprietary hardware.
“Do you have a box?” Yes, Darkmoon can run as a dedicated appliance. But you do not buy proprietary hardware from us. The appliance is software that turns a machine you already trust into an autonomous security node.
The appliance is the software on top of a machine you choose, on your bench, in your hypervisor or in your own cloud tenancy.
Nothing to buy from us but the software. Bring your own machine.
No OVA, no ISO, no sealed unit shipped to your dock.
Move, resize or replace the machine on your own terms.
No listing to subscribe to, no revenue share, no per-cloud lock-in.
The exact packaged Docker images run on every cloud and on your own bare metal.
The node lives in your account, under your governance; license and LLM keys stay yours.
Five reference profiles for the machine you provide. Each one starts with what it is recommended for, match the workload first, then read the specs. These are recommended values carrying an engineering margin, not hard floors.
Single low-parallelism campaign, a few assets.CPU · 2 vCPURAM · 8 GBStorage · 40 GB SSDNetwork · Outbound HTTPS to LLM + target reachabilityArchitecture · amd64AI mode · Connected / PrivateGPU · None
One campaign, normal agent parallelism.CPU · 4 vCPURAM · 16 GBStorage · 80 GB SSDNetwork · Sustained scan traffic during campaignsArchitecture · amd64AI mode · Connected / PrivateGPU · None
High concurrency / larger multi-asset campaigns.CPU · 8 vCPURAM · 32 GBStorage · 160 GB NVMeNetwork · Higher concurrent scan + LLMArchitecture · amd64AI mode · Connected / PrivateGPU · None
Sustained on-site / edge node, long retention.CPU · 8–16 vCPURAM · 32–64 GBStorage · 250 GB+ NVMeNetwork · On-site targets, egress per AI modeArchitecture · amd64 (arm64 experimental)AI mode · AnyGPU · None
Sovereign, on-node inference.CPU · 8+ vCPURAM · 16–32 GB + model floor (7B +8 GB, 13B +16 GB, 33B +32 GB)Storage · 160 GB+ NVMe (+ model weights)Network · LLM stays on nodeArchitecture · amd64AI mode · LocalGPU · Optional (local inference only, never for the engine or VR)
The documentation walks through parallelism, retention and AI mode so you can size the machine precisely.
Full sizing methodology →
You run Darkmoon through its lifecycle tooling, not by hand-administering every container. One command brings the node up, one keeps it healthy, one moves it forward. The control of self-hosting. The simplicity of SaaS.
Pulls the packaged images and brings the node up.
Launch a campaign against a target you own.
Diagnose the host, runtime and containers.
Apply the safe automatic fix Doctor identified.
Move to the next version, the same way every time.
One command inspects the whole node and tells you plainly what is wrong. Every check below is a real check the tool runs.
A container stops, a config drifts, a prerequisite is missing.
darkmoon doctor inspects host, runtime and containers.
It names the fault in plain language, no runbook required.
A safe automatic fix, or a documented action you confirm.
The reasoning layer is yours to place. The engine is the same, only the model's location changes.
Reason with a remote model while the Privacy Gateway tokenizes sensitive values on the node before anything leaves. Data-minimization by design, not an offline mode.
Point the node at a model endpoint you already operate, your VPC, your gateway, your contract. Darkmoon reasons through it, nothing routes elsewhere.
Run the model on the node itself for a self-contained, sovereign deployment. A GPU is optional and used only for local inference.
The Privacy Gateway is data-minimization, not an offline mode: it tokenizes sensitive values before they reach a remote model. A GPU is relevant only for Local inference, never for the engine, and never for the immersive view, which renders client-side.
A clean line between what you run and what we ship. There is no proprietary box to replace, if a machine breaks, you swap the machine and bring the node back up.
Physical hardwareVM / hypervisor (if applicable)Power & physical maintenanceHardware replacementHardware warranty
Host operating systemHost security & hardeningNetwork & firewall
Darkmoon softwarePackaged deploymentDocker imagesInstallation toolingDarkmoon Doctor
Application lifecycle & updatesCompatibility documentationReference sizingSoftware support
The same node fits a rack, a hypervisor, a plant floor or your own cloud tenancy. Any of these substrates works, and no hardware brand is mandatory, you choose the machine, the appliance is the software on top.
A bare-metal machine you own, racked or on a bench.
A guest on your existing hypervisor, sized to a profile.
A fanless or ruggedized unit on the plant floor.
A node close to the assets it tests, on-site.
Your own tenancy, under your governance and controls.
There is no proprietary hardware to buy and nothing to order from a cloud marketplace. If you already run on AWS, Google Cloud, Azure or OVHcloud, one command stands up a dedicated Darkmoon Pro node in your own tenancy, the machine, the firewall port and the install, done for you.
curl -fsSL https://portal.dark-moon.org/deploy | bash -s -- \
aws --license <KEY> --api-key <LLM_KEY>The appliance is the execution point. The same engine integrates across the tools you already use, the ecosystem stays horizontal, wherever the node runs.
Web console, reporting and remediation on top of the engine.
The Model Context Protocol server, exposing Darkmoon to agents.
Security campaigns wired into your pipelines.
Reach the same engine from where you write code.
Trigger and orchestrate campaigns programmatically.
Feed findings into the tooling you already run.
The appliance produces the graph data. Darkmoon Pro turns it into attack paths you can walk, on the desktop or in an immersive view. The immersive rendering happens client-side, so it never needs a GPU on the node.
Packaged Docker images, install tooling and Darkmoon Doctor. See how to install, size, operate and diagnose a dedicated node on your own hardware.