X-Guard addresses critical security gaps in current LLM safety systems by providing robust multilingual content moderation to protect against adversarial attacks.

• Overcomes English-centric limitations of existing guardrails
• Effectively handles low-resource languages and code-switching attacks
• Serves as a specialized safety agent for multilingual content moderation
• Enhances security of LLM deployments in global applications

This research significantly improves AI safety in diverse linguistic contexts, making LLM deployments more secure and reliable across cultural and language boundaries.

X-Guard: Multilingual Guard Agent for Content Moderation