Key Takeaways
- 01Differentiators are editorial, not technological: editorial discipline (fewer, higher-confidence indicators), attribution rigor (sourced and dated, not aggregated rumor), operational context (how to act, not just what to look for), decay (every indicator has an expiration), feedback loop (consumer outcomes inform future curation).
- 02Internal team structure: pair every analyst with a detection engineer. Analyst produces the intel; engineer immediately translates it into detection content. They work and ship together. Eliminates the common gap where intel is published and never operationalized.
- 03Quality metrics we publish to customers: customer-attributed detections per quarter, median time from indicator publication to customer detection, false-positive rate per indicator class. The most honest measure of feed quality.
- 04Combine our feed with vendor and open-source feeds rather than choosing one. Each one's blind spots are someone else's strength; the SOC pipeline normalizes and de-duplicates across all of them.
Alexa Cybersecurity produces threat intelligence feeds for our customers. After several years of refining the production pipeline, the differentiators that actually matter are not technological — they are editorial.
What separates a useful feed
- 01Editorial discipline — fewer, higher-confidence indicators
- 02Attribution rigor — sourced and dated, not aggregated rumor
- 03Operational context — how to act on it, not just what to look for
- 04Decay — every indicator has an expiration; old indicators are pulled
- 05Feedback loop — consumer outcomes inform future curation
The internal team structure
We pair every analyst with a detection engineer. The analyst produces the intel; the engineer immediately translates it into detection content. The two work together and ship together. This eliminates the common gap where intel is published and never operationalized.
Quality metrics that we publish
Customer-attributed detections per quarter. Median time from indicator publication to customer detection. False-positive rate per indicator class. We publish these numbers to our customers; they are the most honest measure of feed quality.
#Alexa Research#Threat Feed#Intel