AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Information Security Engineers

Strong

AI agents could handle several recurring digital workflows in this job, while people remain responsible for judgment and final decisions.

Where agents can help most

  1. 1

    Monitor alerts and escalate security incidents

    Use an agent to pull together alerts from monitoring tools, group related signals, and draft a short incident note for your review.

  2. 2

    Scan vulnerabilities and track fixes

    Use an agent to organize vulnerability scan results, remove duplicates, and rank findings by the systems they affect and the likely impact.

  3. 3

    Review security controls and suggest improvements

    Use an agent to review firewall, logging, encryption, and endpoint control notes from tests or assessments, then summarize where the controls look weak.

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O*NET-SOC 15-1299.05 · #88 of 923

Result context

How to read this result

Develop and oversee the implementation of information security procedures and policies. Build, maintain and upgrade security technology, such as firewalls, for the safe use of computer networks and the transmission and retrieval of information. Design and implement appropriate security controls to identify vulnerabilities and protect digital files and electronic infrastructures. Monitor and respond to computer security breaches, viruses, and intrusions, and perform forensic investigation. May oversee the assessment of information security systems.

National position
#88 of 923 occupations
Top 10% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 79/100
Meaningful work covered
84%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Monitor alerts and escalate security incidents

How you could use an agent

Use an agent to pull together alerts from monitoring tools, group related signals, and draft a short incident note for your review. It can separate likely false alarms from events that deserve attention, record what was seen, and prepare a handoff summary for the right response owner.

Where you stay involved

You decide whether the issue is a real security incident, choose the next step, and take over any case that needs deeper investigation or service-impacting containment.

Review level: High

2

Scan vulnerabilities and track fixes

How you could use an agent

Use an agent to organize vulnerability scan results, remove duplicates, and rank findings by the systems they affect and the likely impact. It can draft a fix list, track which tickets are still open, and compare the next scan to see whether the issue is still present.

Where you stay involved

You decide which fixes are acceptable, approve any disruptive changes, and review whether the remaining risk needs a different treatment.

Review level: High

3

Review security controls and suggest improvements

How you could use an agent

Use an agent to review firewall, logging, encryption, and endpoint control notes from tests or assessments, then summarize where the controls look weak. It can compare the results with your standards, draft improvement suggestions, and keep a record of which control owners still need to respond.

Where you stay involved

You decide which recommendations to adopt, approve any change that affects production, and judge whether the controls are strong enough for the environment.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

76 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency74
AI capability84
Digital actionability89
End-to-end leverage82
Safety & reversibility64
Meaningful-work coverage
84%
Physical-work modifier
Limited
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
20 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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