{"data":{"id":"a97fd1dd-05b1-4cc4-9fa7-906775182d79","title":"LLMBA: Efficient Behavior Analytics via Large Pretrained Models in Zero Trust Networks","summary":"The LLMBA framework uses a Large Language Model to analyze behavioral patterns of internal users and entities for Zero Trust Architecture. It applies a multi-level behavior encoding scheme, self-supervised fine-tuning to detect unknown malicious behaviors, and knowledge distillation to compress the model. On the CERT Insider Threat dataset, LLMBA outperforms state-of-the-art baselines in detection accuracy, and the compressed student model performs better than existing methods under comparable runtime constraints.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11400583","publishedAt":"2026-02-19T13:16:26.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"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":"2026-02-19T13:16:26.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.8,"researchCategory":"peer_reviewed","atlasIds":null}}