{"data":{"id":"dd976782-5991-4153-9ca5-9a64136a9aab","title":"Constrained-Action AI Remediation for SIEM/XDR via a NeMo-Guardrails Proxy","summary":"The paper proposes a constrained-action architecture for LLM-driven remediation in SIEM/XDR security operations. It pairs a control plane that limits the model to a closed intent vocabulary with a NeMo-Guardrails proxy that wraps the analyst LLM. The stock proxy raises injection recall from 25.0% to 94.5% at a 0.1% false-positive rate.","solution":"The source describes a constrained-action design rather than a fix for a specific flaw. It confines the LLM's output to a closed intent vocabulary of templated commands executed by thin endpoint agents, backed by an argument validator, and wraps the analyst LLM with input- and output-rail policies via a NeMo-Guardrails proxy. It also suggests running the loop human-in-the-loop or delayed, since the measured rail latency rules out inline control.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.09906v1","publishedAt":"2026-10-07T12:00:51.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["prompt_injection"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["NeMo-Guardrails","LLM SOC-analyst assistant"],"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":"2026-10-07T12:00:51.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","safety"],"aiComponentTargeted":"agent","llmSpecific":true,"classifierConfidence":0.93,"researchCategory":"preprint","atlasIds":null}}