Use an LLM as a “translation layer” between a CVE and your asset inventory

AI & Prompt EngineeringMar 25, 2026 • by ThreatNoir

Workflow

  1. Paste the CVE advisory text (or vendor bulletin).
  2. Ask the model to extract affected product names + version ranges.
  3. Ask it to generate inventory matching rules (package names, CPE hints, file paths, service names).
  4. Validate those rules against one known affected host before running at scale.

Prompt

"Extract affected products and version ranges. Then propose 5–10 concrete ways to identify exposure in an enterprise (package names, registry keys, service names, binary versions, config flags)."

Caution

Always treat the output as a hypothesis—verify against authoritative sources and a known host.