Security / privacy Creators on TikTok: 42 Indexed

This is the pool of Security / privacy creators on TikTok within Software — 42 of them. The narrower the niche, the higher the reply rate; searching broadly for "Software creators" usually spends budget on audiences that do not overlap yours.

How this slice differs from the index as a whole

• 76% have recent content captured for judgement versus 45% overall — better-evidenced than average.
• Median following is 11,144, 2.8× the index-wide median of 3,971 — expect higher rate cards.
• 17% publish an email or IM handle against 6% index-wide — easier to reach directly than average.

How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.

Creators in this slice

• CYBAG (@cybagcom) — Private Local AI deployment

• NetworkChuck (@networkchuck) — Linux commands and hacks

• Marcus Hutchins (@itsmarcushutchins) — cybersecurity career entry and challenges

• Hacker For Hire (@lisus18ikrak) — Ethical hacking techniques and explanations

• เบียร์ไอที ເບຍໄອທີ TeleCorsa (@beertelecorsa) — Cybersecurity and scam prevention

• future infinitive ☸️🆘🇺🇸 (@lizthedeveloper) — cybersecurity insider details and tools

• FNKvision Smart Appliances (@dylanwang12121) — FNKvision security cameras

• Göksel Tombaz (@gokselgram) — e-Devlet features

• UnixGuy / Cyber Security (@unixguy_cybersecurity) — Cybersecurity career roadmaps and 6-month plans

• srhoe (@srh0e) — Ethical hacking and red teaming basics

Ordered by follower tier, first 10 shown. Each link opens that creator’s public profile: what they post about, who reads it, and recent samples — no contact details.

Top 6 countries

Why this niche deserves its own view

"Security / privacy" is defined by who the audience is and what job they do, not by what the creator posts about. Two creators can both cover AI tools while their audiences barely overlap — one talks to media buyers who care about creative and bids, the other to engineers who care about APIs and deployment. Searching by topic mixes them together; searching by audience function does not.