{"data":{"id":"576a1048-0cb5-4d47-90ed-94fffa827e0d","title":"AgentCIScope: Grounded Contextual Integrity Evaluation for LLM Agents","summary":"AgentCIScope is a platform and benchmark that tests whether LLM agents preserve contextual integrity when they read and write sensitive data across application environments through tool calls. The authors evaluated 12 agents on 936 executable tasks and found single-run leakage rates from 32.5% to 94.4%, rising by 4 to 19 percentage points when each task is repeated five times. Leakage varies by attribute, with personal preferences at 84.7% and credit-card information at 17.1%.","solution":"N/A -- no mitigation discussed in source.","labels":["research","privacy"],"sourceUrl":"https://arxiv.org/abs/2610.19158v1","publishedAt":"2026-10-13T20:25:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["pii_leakage"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"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":"2026-10-13T20:25:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.93,"researchCategory":"preprint","atlasIds":null}}