LinkedIn Benchmark for Cybersecurity Professionals
EmergingSee how Cybersecurity professionals compare across LinkedIn visibility, career strength, and AI resilience.
Updated October 12, 2026
Free · Uses your LinkedIn export · No scraping
As of October 12, 2026, the median LinkedIn Score among 21 RankedIn users classified as Cybersecurity professionals is 64 (the middle half scored 58–67), and their median AI Resilience Score is 80 (middle half 75–85).
Career is the highest-scoring dimension (median 100) and Content the lowest (median 27).
These figures describe RankedIn users who uploaded a LinkedIn data export, a self-selected group rather than a representative sample of the profession. AI Resilience Scores are AI-generated estimates, so small differences between professions should not be read as meaningful.
How RankedIn calculates benchmarks →What stands out
You've seen the Cybersecurity benchmark. Now see where you stand.
See where you fall within this benchmark — see your LinkedIn Score, AI Resilience, and individual signals next to Cybersecurity Professionals, including where you're strong, where you may be under-positioned, and what to improve next.
See Where I Stand →Built from your actual LinkedIn data — not a questionnaire. Processed privately and never shared.
How does the comparison work? →
- Request your LinkedIn data export (LinkedIn → Settings → Data Privacy → Get a copy of your data)
- Upload the relevant files to RankedIn
- RankedIn analyzes the data
- See your personalized comparison and recommendations
About this benchmark(sample size, methodology)
A growing benchmark with stronger depth behind the comparison. Benchmarks publish only after meeting minimum data-quality and privacy thresholds — small or unverified samples are never shown as if they were reliable.
- Based on 21 benchmark-eligible Cybersecurity professionals
- Benchmark values use the median score across eligible profiles
- Typical benchmark range: 58–67
- Population: Working professionals
- Maturity: Emerging
- Last updated October 12, 2026 · refreshed weekly
- Methodology version v2
- Sample size increased from 19 to 21.