As of July 2026,
Security Management Specialists has an AI-exposure score of 49/100
(Elevated exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
The source mix for this role could not be verified. Treat the exposure score as lower-confidence until provenance is restored. BLS labor-market figures are separate context, not score inputs.
Security Management Specialists
More exposed than 27% of the roles we track.
Will AI replace Security Management Specialists?
No exposure score can predict whether AI will replace this role. The 49/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.
Early-career context (study ages 22-25)
This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.
The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.
Use the task map to identify durable work and the skills worth building early.
Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision
This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.
How this role compares to similar Business & Finance roles
What this role usually involves
Conduct security assessments for organizations, and design security systems and processes. May specialize in areas such as physical security or the safety of employees and facilities.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Security Management Specialists, SOC 13-1199.07. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Security Management Specialists tasks, by AI exposure
No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as durable (55%).
- Conduct security audits to identify potential vulnerabilities related to physical security or staff safety.
- Respond to emergency situations on an on-call basis.
- Monitor the work of contractors in the design, construction, and startup phases of security systems.
- Train personnel in security procedures or use of security equipment.
We analyzed all 20 Security Management Specialists tasks - 9 augmentable and 11 durable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Conduct security audits to identify potential vulnerabilities related to physical security or staff safety.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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