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# Will cybersecurity be replaced by AI?

Updated October 2026

Cybersecurity analysts score 60 of 100 for AI exposure. The largest share of their task time, 73%, is work AI speeds up while they stay in charge. AI can take over 18% outright, and 9% stays with people.

-   **18%** AI can do it
-   **73%** AI helps
-   **9%** Needs a person

High exposure

Higher than 91% of the 923 occupations we scored.

## Task by task

We graded 11 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 8 and leaves 1 to people.

| Task | AI exposure |
| --- | --- |
| Document computer security and emergency measures policies, procedures, and tests. Drafting policies, procedures and test reports is highly suited to LLMs. | 75% AI can do it |
| Modify computer security files to incorporate new software, correct errors, or change individual access status. AI can script access and config changes; reviewers approve before applying. | 62% AI can do it |
| Monitor use of data files and regulate access to safeguard information in computer files. AI can flag unusual file access in logs; people set access rules. | 58% AI helps |
| Develop plans to safeguard computer files against accidental or unauthorized modification, destruction, or disclosure and to meet emergency data processing needs. AI drafts data protection and contingency plans; a leader tailors and approves. | 55% AI helps |
| Monitor current reports of computer viruses to determine when to update virus protection systems. AI can summarize threat feeds; person decides when patches are needed. | 55% AI helps |

[See what AI can take on across an IT team](https://www.aigentcy.com/ai-for/it/)

## How cybersecurity analysts compare

All occupations (923)

Computer and mathematical (36)

**Cybersecurity analysts score 60**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 60 for computer and mathematical.

## Pay and outlook in the US

Median pay

$129,180 a year, May 2025

People employed

190,650 in the US, May 2025

Projected change in jobs

+21.0% from 2024 to 2034

## Skills to build

-   Review AI-drafted security policies and test reports for accuracy
-   Review Ansible playbooks for access and configuration changes
-   Set file access rules and approve access status changes
-   Sign off risk assessments and vulnerability test results
-   Verify AWS CloudFormation templates for Amazon EC2 security settings
-   Hold the CISSP certification from ISC2

## Safer roles nearby

5 related occupations with lower scores.

-   [Digital forensics analysts59 out of 100](https://www.aigentcy.com/ai-exposure/digital-forensics-analysts/)
-   [Systems administrators58 out of 100](https://www.aigentcy.com/ai-exposure/systems-administrators/)
-   [Systems analysts59 out of 100](https://www.aigentcy.com/ai-exposure/systems-analysts/)
-   [Network engineers59 out of 100](https://www.aigentcy.com/ai-exposure/computer-network-support-specialists/)
-   [Computer network architects55 out of 100](https://www.aigentcy.com/ai-exposure/computer-network-architects/)

## Questions about cybersecurity analysts and AI

Will AI replace cyber security jobs?

Partly. About 5 in 10 of a cybersecurity analyst's working hours go to tasks AI can already do, mostly drafting security policies and test reports, and modifying access and configuration files. People still set access rules, approve changes before they go live, and decide when patches are needed.

Will AI take over cyber security?

AI can already do 18% of the task time in cyber security and speeds up another 73%. People still do 9% of it. The US has 190,650 cybersecurity analyst jobs, with a projected change of +21.0% from 2024 to 2034.

Which cybersecurity analyst tasks is AI taking over?

Drafting security policies, procedures, and test reports leads, with an exposure score of 75, since language models suit document writing. Modifying access and configuration files follows at 62, because AI can script the changes and reviewers approve them before they apply. Monitoring file access in logs scores 58, since AI flags unusual activity.

Which cybersecurity analyst tasks stay with people?

Talking with users about access needs and security violations stays with people, since live discussion needs a person in the room. Reviewing violations with the people who committed them also needs human judgment. Coordinating rollouts with staff and outside vendors still needs people to chase commitments and resolve conflicts.

How can cybersecurity analysts stay valuable?

Take responsibility for the review and sign-off on everything AI drafts. Check AI-written policies and test reports against your scanner results before they are filed. Review Ansible and AWS CloudFormation change scripts before they touch production. Lead user training and violation reviews in person, since that work stays human.

## Related jobs

-   [Database administrators60 out of 100](https://www.aigentcy.com/ai-exposure/database-administrators/)
-   [Security management specialists49 out of 100](https://www.aigentcy.com/ai-exposure/security-management-specialists/)
-   [IT managers50 out of 100](https://www.aigentcy.com/ai-exposure/it-managers/)
-   [Software developers59 out of 100](https://www.aigentcy.com/ai-exposure/software-developers/)

## Next steps for cybersecurity analysts

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

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-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
