aisecurity.llc

Skill Washing

AI-labeled security titles often outpace AI-specific control, testing, and evidence language.

Title/substance mismatch

What this finding measures

Ready for Public Claim

AI-labeled security titles often outpace AI-specific control, testing, and evidence language.

Use as a primary report finding with methodology caveat.

Based on analyzed job-description signals, not proof of any individual company’s internal security maturity.

Specificity gap

Cross-vertical signal

Chart targets

  • chart_skill_washing_scatter
  • chart_industry_specificity_score
  • chart_survey_interview_fail_reason

Active filters: period=all, industry=all, seniority=all

Clear

Evidence charts

Current chart outputs for this finding

Finding Evidence

Role Breadth by Industry and Period

Industry-level role complexity signal across 2023–2026 — proxy for skill-washing pressure by vertical.

v_ai_title_substance_scatter
Source: v_ai_title_substance_scatter
This measures role-language signal, not intent or deception.

Spec title: AI Label Versus AI Security Substance

Chart ID: chart_skill_washing_scatter

Source: v_ai_title_substance_scatter

Caption: This chart compares AI labeling strength with substantive AI security specificity.

Chart caveat: This measures role-language signal, not intent or deception.

Deck note: Use this chart carefully. Avoid saying companies are lying.

Role Architecture

Role Breadth Score by Industry and Period

Average Frankenstein Role Score per industry across 2024–2026 — where AI security cross-domain pressure is highest.

export.v_chart_vertical_score_heatmap

Government and Defense

2.31

Retail and Ecommerce

1.91

Insurance

1.27

Cybersecurity Vendors

1.21

Healthcare and Life Sciences

0.71

AI-Native Companies

0.6

SaaS and Cloud Software

0.49

Manufacturing Industrial and OT

0.41

Financial Services

0.41

Telecommunications

0

Government and Defense

3.58

Insurance

2.7

Retail and Ecommerce

2.25

AI-Native Companies

2.25

Financial Services

1.77

Healthcare and Life Sciences

1.69

Manufacturing Industrial and OT

1.64

SaaS and Cloud Software

1.56

Cybersecurity Vendors

0.93

Telecommunications

0.53

Government and Defense

6.79

Retail and Ecommerce

6.29

Financial Services

5.44

Cybersecurity Vendors

5.25

Insurance

5.09

Manufacturing Industrial and OT

5.07

AI-Native Companies

5

Healthcare and Life Sciences

4.52

SaaS and Cloud Software

4.26

Telecommunications

3.73

Source: export.v_chart_vertical_score_heatmap
Based on analyzed job-description signals, not proof of any individual company's internal security maturity.

Chart ID: chart_industry_specificity_score

Source: export.v_chart_vertical_score_heatmap

Why AI Security Candidates Fail Interviews (Hiring Managers)

No rows matched current filters or export rows are not populated yet.

Recommended actions

What leaders should do next

Rewrite job specs around technical outputs and control ownership.
Require role-language evidence of AI-specific implementation work.
Train recruiting teams away from keyword-only filters.

Browse the full citation library for supporting research and source quotes.

Evidence library →