# Iqra | Cybersecurity (@iqraxma) on tiktok

- id: koinon:creator:tiktok_iqraxma
- url: https://koinonlink.com/kol/tiktok/iqraxma
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: iqraxma
- platform_url: https://www.tiktok.com/@iqraxma
- website: https://beacons.ai/iqraxmalik
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 12573
- following: 174
- posts_observed: 1
- verified: false
- size_tier: koc

## 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: 0.9
- category_source: derived_from_recent_content
- topics: Breaking into cybersecurity with no experience, Women in cybersecurity and community events, Day in the life as a NYC analyst, Grad school while working full-time, AI's impact on cyber threats and careers, Networking, conferences, and scholarships
- bio: because cybersecurity shouldn’t be gatekept
NYC 🗽 
Cybersecurity | Lifestyle
all views are my own
📩: [contact removed]

## Audience (inferred)
- status: present
- description: Women and students/aspiring professionals trying to break into cybersecurity or advance as analysts, especially those balancing school and work
- roles: none
- seniority: learner
- pain_points: Entry-level jobs requiring 1-2 years experience they don't have, Difficulty networking and getting noticed in the industry, Balancing full-time work with a master's degree, Limited access to conferences, scholarships, and women-in-cyber communities
- posts_analysed: 100
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 45
- authenticity_basis: profile_shape_only
- credibility_score: 45
- 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_iqraxma#019837d6] #cybersecurity #dayinthelife #infosec #womenintech #nyc (https://www.tiktok.com/@iqraxma)
- [tiktok_iqraxma#44340974] Man I Need
- [tiktok_iqraxma#17b38e7b] It is a becoming a big trend on TikTok now! Click here: cybersecurity
- [tiktok_iqraxma#3e4daecc] Check out Iqra | Cybersecurity’s video! #TikTok >
- [tiktok_iqraxma#b32f7dc9] day in my life as a full-time cybersecurity analyst in NYC 👩🏻‍💻
- [tiktok_iqraxma#e6c0e8bf] stay safe ladies!!  #cybersecurity #teaapp #tea #dataleak #databreach #techtok
- [tiktok_iqraxma#476e155b] original sound - iqraxma
- [tiktok_iqraxma#2d190a9d] used one of my professional development days to attend ☺️ ill make a video soon on how I got invited and how you can too hehe  #cybersecurity #womenincybersecurity #cybersecuritycareer #nyc #womeninstem

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

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=76, 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=76, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=101, 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=76, 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=101, 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=101, method=platform_profile

## Freshness
- profile_checked_days_ago: 101
- content_analysed_days_ago: 76
- audience_updated_days_ago: 76

## 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_iqraxma
- Request removal: https://koinonlink.com/claim?k=tiktok_iqraxma
- Terms: https://koinonlink.com/for-ai