Automation index
How much of a SOC analyst’s job can AI already do?
An alert and a playbook come earlier. Calling it an incident and cutting it off in time do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
SOC analyst
28%
AI can already do 28% of this job.
#80 / 623
View rankingSOC analyst
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Triage, SIEM and the alert playbook.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
The false positive and the one that is ransomware.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
IOCs, correlation and the ticket.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
24x7 shift, handoff and the note to the CISO.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Contain, isolate and not killing the business.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Cut it off in time, and not ignoring the awkward alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- alert triage
- SIEM
- SOC playbooks
- IOCs
- contain incidents
- 24x7 shift
- ransomware
- event correlation
Sources for this job· O*NET 15-1212.00· ESCO/ISCO 2529
IS WORK OVER?
Prompt engineer
34%
#21 / 623
View rankingPrompt engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512