AIBullisharXiv – CS AI · 6h ago7/10
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SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
Researchers introduce SafeMCP, a server-side defense system that constrains Large Language Model agents' access to potentially dangerous tools by using predictive reasoning and an internal world model. The framework implements a two-tier defense mechanism combining proactive tool filtering with fail-safe intervention, demonstrating effective risk mitigation while preserving agent functionality across multiple benchmark tests.