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InfoResearchPreprintLLM-specific

Intent-Aware Protection for AI Agents

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Summary

Researchers introduce Intent-Aware Security, a framework that treats an AI agent's trusted intent as a security object, defined through Intent Preservation and Intent Drift and operationalized as an Intent Profile. On an 887-sample benchmark across 35 agents, Intent Profile-based protection raises four-class macro-F1 from 45% to 79%, with Out-of-Scope F1 rising from 8% to 76%. On more than 10,000 executed AgentDojo trajectories, profile-based post-execution detection reaches 0.949 AUROC, versus 0.909 for AlignmentCheck.