{"data":{"id":"c1b228d3-478a-4565-9a2b-2c71b1203cb0","title":"AgentLoupe: Kernel-Resident Semantic Causal Labels for AI Agent Observability","summary":"AgentLoupe is an application-transparent eBPF-based observability tool that attributes AI agent tool invocations to their originating LLM interactions. It captures TLS plaintext to interpret LLM interactions, assigns each a kernel-resident semantic label stored in eBPF maps, and propagates that label across processes, threads, files and sockets. The authors report average observation overhead below 8% and case studies tracing cross-lineage persistent attacks back to their originating LLM interactions.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.23233v1","publishedAt":"2026-10-16T10:01:50.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["other"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["AgentSight","AgentLoupe","LLM agents"],"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":"2026-10-16T10:01:50.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}