Papers
Topics
Authors
Recent
Search
2000 character limit reached

OneShield -- the Next Generation of LLM Guardrails

Published 25 Jul 2025 in cs.CR, cs.AI, and cs.CL | (2507.21170v1)

Abstract: The rise of LLMs has created a general excitement about the great potential for a myriad of applications. While LLMs offer many possibilities, questions about safety, privacy, and ethics have emerged, and all the key actors are working to address these issues with protective measures for their own models and standalone solutions. The constantly evolving nature of LLMs makes the task of universally shielding users against their potential risks extremely challenging, and one-size-fits-all solutions unfeasible. In this work, we propose OneShield, our stand-alone, model-agnostic and customizable solution to safeguard LLMs. OneShield aims to provide facilities for defining risk factors, expressing and declaring contextual safety and compliance policies, and mitigating LLM risks, with a focus on each specific customer. We describe the implementation of the framework, the scalability considerations and provide usage statistics of OneShield since its first deployment.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.