{"data":{"id":"f780633c-259f-4c66-aa56-f6114af65f5d","title":"ATrust: Adaptive Trust Boundary Expansion for Securing LLM Agents","summary":"ATrust is a defense for LLM agents that expands the trust boundary during runtime, starting from the user query as the root trust anchor and admitting task-essential external observations as new anchors. Evaluated on AgentDojo and AgentDyn with GPT-4o as the engine model, it reduces the attack success rate on AgentDyn from 37.80% to 4.37% while improving utility by 10.00%, outperforming AuthGraph by 12.33%.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2611.02741v1","publishedAt":"2026-11-02T08:28:35.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["prompt_injection"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["GPT-4o","AgentDojo","AgentDyn","AuthGraph"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-11-02T08:28:35.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":"preprint","atlasIds":["AML.T0051"]}}