Media Monitoring
ShadowMap tracks news articles that mention your brand, domains, executives, and organizations across 80+ global sources. Articles are AI-scored for relevance and sentiment so your team can quickly identify coverage that matters.
Overview
The page displays matching articles as cards in a responsive grid. Each card includes an article image, relevance score, AI summary, matched keyword chips, and source attribution. Articles are scanned every 2 hours, and new matches appear automatically.
Card Data
Each media monitoring card displays:
| Field | Description |
|---|---|
| Image | Article preview image (falls back to a placeholder if unavailable) |
| Sentiment | AI-assessed tone: Negative (red badge), Neutral (gray badge), or Positive (green badge) |
| Relevance Score | 1--5 dot scale indicating how closely the article matches your organization. Labels: Low, Medium, High, Very High, Exact Match |
| Title | Article headline, linked to the original article |
| AI Summary | AI-generated summary of the article's relevance to your organization |
| Matched Keywords | Color-coded chips showing which of your configured keywords matched: executives (purple), company name (blue), organizations (light blue), domains (teal) |
| Source | Name of the news outlet that published the article |
| Date | Publication date |
Filtering
| Filter | Description |
|---|---|
| Search | Free-text search across article titles and content |
| Relevance | Filter by minimum relevance score: High (3+), Very High (4+), Exact Match (5) |
| Sentiment | Filter by AI sentiment: Negative, Neutral, Positive |
| Source | Filter by news outlet source |
Active filters are displayed as removable chips below the filter bar. A "Clear All" option resets all filters simultaneously.
Why Media Monitoring Matters
Media coverage of your organization in cybersecurity contexts can signal several important situations:
- Public incident disclosure -- A journalist reports on a breach or vulnerability affecting your organization before you are aware
- Analyst commentary -- Security researchers publicly discuss your security posture, exposed assets, or configuration weaknesses
- Third-party breach impact -- News coverage of a vendor or partner breach that may affect your supply chain
- Reputation risk -- Negative sentiment coverage that could impact customer trust or regulatory attention
- Competitor intelligence -- Coverage of similar organizations facing security challenges, informing your own preparedness
How It Differs from Cyber News
| Media Monitoring | Cyber News | |
|---|---|---|
| Scope | Articles that specifically mention YOUR organization, domains, executives, or brand keywords | General cybersecurity industry news |
| AI scoring | Each article scored for relevance (1--5) and sentiment (Negative/Neutral/Positive) to your org | No organization-specific scoring |
| Use case | Brand awareness, incident detection, reputation monitoring | Industry trend awareness |
Recommended Workflow
- Check for Negative sentiment articles first -- these may indicate public disclosure of security issues
- Use Relevance filter at 4+ for high-confidence matches to reduce noise
- Review matched keyword chips to understand why an article was flagged
- Read AI summaries before clicking through to full articles to prioritize your time
- Escalate findings where public disclosure precedes internal awareness