{"data":{"id":"682b8256-0dba-4e34-b790-55d176398139","title":"Adversary Brains: Hypothesis-Based Logical Signatures for Threat Actor Detection with LLMs","summary":"The article proposes an adversary brain, an LLM-based model of a threat actor's behavior held as an evolving logical signature that data can test continuously. It builds on Analysis of Competing Hypotheses (ACH), extending it from a handful of hypotheses to thousands for continuous detection, and uses language models to convert prose reports into brains, judge matches, and maintain them. A partial pattern can also surface new indicators, such as a fresh C2 domain.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"https://arxiv.org/abs/2610.35624v1","publishedAt":"2026-10-26T15:38:22.000Z","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":"2026-10-26T15:38:22.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.7,"researchCategory":"preprint","atlasIds":null}}