WebGuard
Codebase, annotation toolkit, and action-level risk dataset for training and evaluating guardrail models that flag unsafe browser-agent actions before execution.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Benchmarks
- Environment
- web
- Topics
- safety-security, evaluation, web-navigation
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-18T10:59:53Z
- Resource ID
- github:osu-nlp-group/webguard
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- MIT (repository LICENSE header; not a weights/data license)
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
Explore related topics
Related resources
- documented by: WebGuard: Building a Generalizable Guardrail for Web Agents
Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-18T10:59:53Z. Supports: name, kind, summary, environments, topics, scope, relations.
Content fingerprint
be53561dcf69cb2295a26eaebf965eead10b3504fca30f71f73dc5e5728fc5b3 - license header
Retrieved 2026-10-18T11:03:46Z. Supports: licenses.code.
Content fingerprint
93b43d692b033b76129504448695bfe76ef22d18b11e51352bfab4b5622e5aaa
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