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Enriched news report with TAs and CVEs data

Enriched news report with TAs and CVEs data​

Overview​

This workflow enriches cyber news reports by extracting threat actor (TA) information, relevant CVEs, and generating concise, actionable summaries. It automates ingestion from a news source, correlates actors and vulnerabilities, and produces a final report that helps security teams quickly understand impact and prioritize response.

How It Works​

  1. Input & News Ingestion: An Input Node provides configuration and context; a News/Feed Node fetches the latest cyber news articles.
  2. Threat Actor Enrichment: Integration Nodes query threat‑actor services to identify mentioned actors, aliases, and related entities from the article content.
  3. CVE Extraction & Lookup: AI/Scripting Nodes extract product/version indicators and known CVE references; Integration Nodes query CVE sources to retrieve details (severity, descriptions, affected products).
  4. Data Processing & Join: Scripting Agents normalize indicators (hashes, vendor/product, versions) and join actor and CVE datasets, removing duplicates and enriching with context.
  5. Analysis Operations: Additional Operation Nodes run targeted analyses (e.g., hash or malware lookups, actor capability mapping, technology matching) as needed.
  6. Report Generation: A final Scripting/AI Agent assembles an executive summary and a structured technical section (actors, CVEs, indicators, references) for distribution.

Who is this for?​

  • Threat intelligence and SOC teams monitoring emerging threats
  • Incident responders needing quick actor/CVE context from news
  • Vulnerability management teams prioritizing remediation
  • Security leadership requiring concise, high‑signal summaries

What problem does this workflow solve?​

  • Automates enrichment of news with actor and vulnerability data, reducing manual research time
  • Correlates multiple sources (actors, CVEs, indicators) into a single coherent report
  • Standardizes summaries for faster triage and stakeholder communication
  • Improves responsiveness by highlighting impacted technologies and severity early