HunterAgent combines LLM hypothesis generation with symbolic verification and cost-bounded graph search to reconstruct attack paths under anti-forensics, reporting 86.1% mean F1 on benchmarks with reduced hallucinations.
Information- dense reasoning for efficient and auditable security alert triage,
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HunterAgent: Neuro-Symbolic Attack Trace Reconstruction under Anti-Forensics
HunterAgent combines LLM hypothesis generation with symbolic verification and cost-bounded graph search to reconstruct attack paths under anti-forensics, reporting 86.1% mean F1 on benchmarks with reduced hallucinations.