Evidence-Grounded Retrieval for Investigation Hunt Lead Generation from CTI Reports
Threat hunting increasingly depends on converting unstructured knowledge (e.g., Cyber Threat Intelligence reports) into actionable hunt leads: concise, investigable hypotheses grounded in observable artifacts and adversary techniques. Producing such leads manually is a tedious and hard-to-scale task. Existing automated approaches stop at the entity layer, ignore the defender's operational environment, and analyze each report in isolation. To address these gaps, we introduce AHLERT, a system that automatically extracts relevant, environment-aware, and hunt leads from threat reports through (i) a hybrid retriever that combines dense vector search with multi-hop traversal over a knowledge gr...
| Authors | Akash Prakash, Boubakr Nour, Makan Pourzandi et al. |
|---|---|
| Primary category | cs.CR |
| Published | 8 September 2026 |
| Last updated at source | 8 September 2026 |
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