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ToolGuardian: Declarative Security for AI Agent-Tool Interactions

First seen · 7/24/2026, 05:53 AMLatest activity · 7/24/2026, 05:53 AM

ToolGuardian secures agent-tool interactions through pre-admission vetting and task-aware runtime authorization. It progressively converts tool descriptions, system-call traces, mock-execution effects, and source analysis into structured facts, then applies Answer Set Programming policies over capabilities, effects, task context, conformance, and multi-tool composition. On 16 MCP-style tools, including eight malicious variants, ASP achieved 0.86 deny-class F1 and 88% vetting accuracy using description, syscall, and observed-effect evidence. Fully specified runtime realizations classified all 20 reported scenarios correctly, while rule ablations reduced performance.

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  1. AggregatorarXiv7/24, 05:53 AMnot independentRepresentative
    ToolGuardian: Declarative Security for AI Agent-Tool Interactions