Moderation and safetyCybersecurity

AprielGuard

A guard model that catches both harmful content and attacks on AI (prompt injection, jailbreaks), including when agents use tools.

Developer
ServiceNow, USA
First release
Dec 2025
Latest release
Dec 2025
Sizes
8B
License
Commercial use allowedMIT
Russian
Not supported
Running
On your own serverNeeds a GPU
Industries
Security, Customer support, Software development
Deploy on your server Hugging Face

What it does

  • Screening chatbot requests for attacks and jailbreaks
  • Filtering harmful model answers
  • Monitoring the actions of AI agents that use tools

Where it is used

Support with AI botsSecurity teamsAI agent development

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. AprielGuard 8B

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can AprielGuard be used in a commercial project?

Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does AprielGuard need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does AprielGuard support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download AprielGuard and what does it cost?

The AprielGuard weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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Details

Source: huggingface.co/blog/ServiceNow-AI/aprielguard. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.