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AI Automation Index
Will AI Replace Information Security Analysts?
Task-level automation exposure for Information Security Analysts: 11 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
65%
weighted task index
11 of 11 tasks scored
Median Salary
$129,180 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
190,650 people hold this job — size, not growth
Projected 2025–35
+21.0%
employment change
14,100 openings a year · BLS line item
Pay by state
BLS OEWS publishes 49 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$63,740 – $154,940
Highest medians
Washington $154,940
Maryland $139,640
California $138,570
Delaware $137,030
Massachusetts $136,550
Lowest medians
Puerto Rico $63,740
Montana $81,950
Mississippi $87,690
Nebraska $92,550
Louisiana $92,990
State figures come from the 15-1212 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 65%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 27%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 9%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 33/100
Moderate
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
11 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 75%
8 tasks
Medium exposure (≥ 35%) 25%
3 tasks
Low exposure (below 35%) 0%
0 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#5314 · Core · 70% automatable
Develop plans to safeguard computer files against accidental or unauthorized modification, destruction, or disclosure and to meet emergency data processing needs.
text generation — AI drafts security policies; human approves
Develop computer or information security policies or procedures.
#5316 · Core · 80% automatable
Monitor current reports of computer viruses to determine when to update virus protection systems.
information retrieval — AI scans trend sources; human weighs relevance
Update knowledge about emerging industry or technology trends.
#5321 · Core · 60% automatable
Encrypt data transmissions and erect firewalls to conceal confidential information as it is being transmitted and to keep out tainted digital transfers.
decision support — Security implementation needs human judgment and deployment
Implement security measures for computer or information systems.
#5320 · Core · 55% automatable
Perform risk assessments and execute tests of data processing system to ensure functioning of data processing activities and security measures.
data analysis — AI interprets test output; human executes tests
Test computer system operations to ensure proper functioning.
#5317 · Core · 60% automatable
Modify computer security files to incorporate new software, correct errors, or change individual access status.
decision support — Security implementation needs human judgment and deployment
Implement security measures for computer or information systems.
#5323 · Core · 60% automatable
Review violations of computer security procedures and discuss procedures with violators to ensure violations are not repeated.
decision support — Security implementation needs human judgment and deployment
Implement security measures for computer or information systems.
#5322 · Core · 78% automatable
Document computer security and emergency measures policies, procedures, and tests.
text generation — Draft operational procedure documentation
Document operational procedures.
#5315 · Core · 61% automatable
Confer with users to discuss issues such as computer data access needs, security violations, and programming changes.
decision support — IT troubleshooting collaboration well-supported by AI
Troubleshoot issues with computer applications or systems. Collaborate with others to resolve information technology issues.
#5319 · Core · 85% automatable
Monitor use of data files and regulate access to safeguard information in computer files.
data analysis — AI monitors digital security logs and alerts
Monitor the security of digital information.
#5318 · Core · 50% automatable
Coordinate implementation of computer system plan with establishment personnel and outside vendors.
decision support — AI coordinates cross-team plans; human resolves conflicts
Coordinate project activities with other personnel or departments.
#5313 · Core · 55% automatable
Train users and promote security awareness to ensure system security and to improve server and network efficiency.
interpersonal — Software training content AI-generatable, live coaching human
Train others in computer interface or software use.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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