Security Signal Intelligence

Relevant security news, breaches, and market events are difficult for GTM teams to monitor and interpret consistently.

Timely conversations need a shared, reviewed digest — not 20 people refreshing the same feeds.

Without this: Inconsistent awareness. Missed campaign windows.

Primary: Product GTM and field marketers

Secondary: AEs preparing account conversations

Job: Know which events matter to which accounts, with a recommended use.

Threat-intelligence playbooks at Rapid7 and industry training at Darktrace existed because the field could not monitor the market consistently on its own.

Goals

• Collect, deduplicate, classify, score relevance, and review before a digest goes out.

Non-goals

• A news product.
• Unreviewed alerts to customers.

A reviewed weekly digest with account/persona tags.

Question the MVP tests: Does a shared, reviewed signal feed change conversation quality?

1. Sources
2. →Collection
3. →Normalization
4. →Deduplication
5. →Classification
6. →Relevance scoring
7. →Review
8. →Digest / alerts

Plain language

1. Sources
2. →Normalize
3. →Classify
4. →Review
5. →Digest

Technical

1. Source collection
2. →Normalization
3. →Classification
4. →Review queue
5. →Digest delivery

• Source
• Event
• Account relevance
• Review
• Digest

Operational

• Faster market awareness

Behavioral

• Digest usage
• Campaigns launched from signals

Business

• Hypothesis: stronger customer conversations and timely campaigns

If market events are reviewed and tagged, GTM should respond faster and more consistently. Next — not built. Human review stays in the loop.

• Reviewed digest over real-time unfiltered alerts.
• Deterministic source list over open-ended crawling.

Next. Not started as software.

Intended value

• Faster market awareness
• Stronger customer conversations
• Timely campaigns
• Improved competitive and product insight

• Source list
• Review queue
• Account tagging