# UnixGuy | Cyber Security (@unixguy_cybersecurity) on tiktok

- id: koinon:creator:tiktok_unixguy_cybersecurity
- url: https://koinonlink.com/kol/tiktok/unixguy_cybersecurity
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: unixguy_cybersecurity
- platform_url: https://www.tiktok.com/@unixguy_cybersecurity
- country: Australia
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 102950
- following: 357
- posts_observed: 1
- verified: false
- size_tier: kol

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: security
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Cybersecurity career roadmaps and 6-month plans, GRC roles and why they matter, IAM and access management projects, Application security for coders, Entry-level jobs and resume tips, OT security and tiered role explanations

## Audience (inferred)
- status: present
- description: Aspiring cybersecurity professionals and entry-level job seekers looking for career roadmaps, role explanations, and hiring advice
- roles: none
- seniority: learner
- pain_points: Uncertainty choosing between cybersecurity paths like GRC, SOC, IAM or AppSec, Lack of clear beginner roadmaps and practical weekend projects, Difficulty getting hired without experience, coding skills or the right certifications, Confusion about specialized or lesser-known areas such as OT security
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 57
- authenticity_basis: profile_shape_only
- credibility_score: 57
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_unixguy_cybersecurity#c25bc4e2] This is exactly How I Would Learn Cybersecurity If I Had to Start Over (6 Months Plan).  This is my updated Cybersecurity Roadmap video, This is a comprehensive update taking into account market changes, new platforms, and of courese AI.  The is the same plan that gotten a lot of (https://www.tiktok.com/@unixguy_cybersecurity)
- [tiktok_unixguy_cybersecurity#842eeaf9] original sound - unixguy_cybersecurity
- [tiktok_unixguy_cybersecurity#39652635] Check out UnixGuy | Cyber Security’s video! #TikTok >
- [tiktok_unixguy_cybersecurity#6b7e645e] Search:
- [tiktok_unixguy_cybersecurity#b8d1ccdb] Google Cyber Security Certificate
- [tiktok_unixguy_cybersecurity#1c0918b2] Cyber Security is not Cooked.  Last week, an AI agent discovered 22 vulnerabilities in Firefox with zero human involvement. This is significant and it changes the way we think about cyber security. Coin

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=62, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=62, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=62, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=89, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=62, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=89, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=89, method=platform_profile

## Freshness
- profile_checked_days_ago: 89
- content_analysed_days_ago: 62
- audience_updated_days_ago: 62

## AI retrieval
- indexing_requests: 12
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_unixguy_cybersecurity
- Request removal: https://koinonlink.com/claim?k=tiktok_unixguy_cybersecurity
- Terms: https://koinonlink.com/for-ai