Technology occupation

Will AI replace Cybersecurity Analyst?

See how this occupation’s day-to-day work compares with other jobs in exposure to AI and automation, why it received this result, and where human skills remain essential.

Cybersecurity Analyst

Information Security Analysts · Technology

Higher AI & automation exposure than 85% of jobs we compare.

Exposure index: 85 / 100

This compares the type of work in this job with the work in hundreds of other jobs.

This is a comparison between jobs — not a 85% chance of job loss.

Why did this job get this result?

  • Monitoring network traffic, configuring firewalls, and reviewing security event logs take place on digital systems.
  • Vulnerability scanning, patch verification, and incident response checklists follow established cybersecurity frameworks.
  • The occupation is based in technical office and security operations center (SOC) environments with no physical automation.
  • Analysts must investigate sophisticated cyber threats, anticipate adversarial tactics, and design resilient defense perimeters.
  • Coordinating incident response with IT teams, executive leadership, and regulatory bodies requires clear crisis communication.

How technology may change this work

Technology and human strengths

What AI & automation may affect

  • Security monitoring software and automated event management tools can assist in triaging alerts and flagging network anomalies.
  • Automated vulnerability scanners can identify unpatched software dependencies and standard configuration errors.

Human strengths in this job

  • Anticipating novel, sophisticated attack vectors engineered by human adversaries seeking to bypass automated defenses
  • Leading critical incident response operations during active, high-pressure cybersecurity breaches
  • Balancing stringent organizational security controls with practical employee productivity and usability
  • Investigating complex insider threat anomalies and conducting sensitive digital forensics investigations

How this result breaks down

These are model components, not percentages of the job or of how necessary people are.

AI & digital work77

How much the job involves information, data, writing, analysis or other digital work that AI and software may help with.

Repeatable work49

How much of the work follows regular, predictable or repeated steps.

Physical automation48

How much of the physical work may be suitable for machines or robotics.

Human skills matter50

How much the job depends on judgment, creativity, communication and adapting to real situations.

How is the index calculated?

The Exposure Index is a percentile comparing this job's digital, routine, and physical tasks against all 897 occupations in the Model 2.1 dataset. A score of 85 means higher modeled exposure than approximately 85% of comparable jobs.

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What people in this job commonly do

  • Develop plans to safeguard computer files against accidental or unauthorized modification, destruction, or disclosure and to meet emergency data processing needs.
  • Monitor current reports of computer viruses to determine when to update virus protection systems.
  • Encrypt data transmissions and erect firewalls to conceal confidential information as it is being transmitted and to keep out tainted digital transfers.
  • Perform risk assessments and execute tests of data processing system to ensure functioning of data processing activities and security measures.
  • Modify computer security files to incorporate new software, correct errors, or change individual access status.
  • Review violations of computer security procedures and discuss procedures with violators to ensure violations are not repeated.

How we compare jobs

We look at what people do in hundreds of occupations — including digital work, repeatable activities, physical automation and human skills — then compare the job with other occupations.

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What this tool cannot predict

It cannot predict individual job loss, exact technology adoption timing or decisions by an individual employer.

Occupation and data details

O*NET-SOC: 15-1212.00
Career category: Technology
Typical education: Bachelor's degree

Data source: O*NET, U.S. Department of Labor.

This product includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Toolsyte has modified and scored some information; USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.