Wildguard
PulseGate's liveness check found it on 14 Sep 2026; it is registered on Hugging Face and has been in the index since 19 Jul 2026. How this is checked
WildGuard is an open-source model developed by AllenAI for classifying harmful content, detecting jailbreak attempts, and performing safety evaluations on text. It is designed to help developers build safer AI applications by identifying problematic inputs before they reach production LLMs. The model is available on Hugging Face and can be used with standard transformer libraries.
Inferred · not functionally tested
Overview
3 featuresPurpose: Identifying and filtering unsafe, harmful, or adversarial prompts in LLM applications.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
In the AI security & guardrails space, Wildguard takes a focused approach. Inferred · not functionally tested: It focuses on identifying and filtering unsafe, harmful, or adversarial prompts in LLM applications. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: Wildguard is open source under the Open Source license. Basis unknown · not verified: It ships for the web, the command line, and API.
It is developed by AllenAI (United States), and it first shipped in 2024. Inferred · not functionally tested: Among its 3 catalogued features are content moderation, jailbreak detection, and safety classification.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Content moderation
- Jailbreak detection
- Safety classification
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- bvllm in the HTML · text-generation- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed19 Jul · 20:19 UTCallenai/wildguard seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Wildguard
- What does Wildguard do?
- Inferred · not functionally tested: Wildguard focuses on identifying and filtering unsafe, harmful, or adversarial prompts in LLM applications. It is catalogued under AI security & guardrails on PulseGate.
- Who is Wildguard for?
- Inferred · not functionally tested: Wildguard is an open-source project built for developers.
- Does Wildguard have a free plan?
- Basis unknown · not verified: Yes — Wildguard is open source under the Open Source license and free to use.
- What platforms does Wildguard run on?
- Basis unknown · not verified: Wildguard runs on the web, the command line, and API.
- Is Wildguard still active?
- PulseGate's liveness check found it on 14 Sep 2026.
- Who develops Wildguard?
- Wildguard is developed by AllenAI, based in the United States.
- When did Wildguard launch?
- Wildguard first shipped in 2024.
- Is Wildguard open source?
- Basis unknown · not verified: Yes — Wildguard is open source under the Open Source license.
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