Automation index
How much of a Cybersecurity analyst’s job can AI already do?
Today an AI can already classify, reconcile, and prep a first close. The final call, and what goes to the tax office, still has a name on it.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Cybersecurity analyst
32%
AI can already do 32% of this job.
#26 / 623
View rankingCybersecurity 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 |
|---|---|---|---|
Monitor use of data files and regulate access to safeguard information in computer files.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
Monitor current reports of computer viruses to determine when to update virus protection systems.EstimateNo public source provides a precise figure. This is our estimate. | 13% | 55% | +7.2 |
Encrypt data transmissions and erect firewalls to conceal confidential information as it is being transmitted and to keep out tainted digital transfers.EstimateNo public source provides a precise figure. This is our estimate. | 13% | 28% | +3.6 |
Modify computer security files to incorporate new software, correct errors, or change individual access status.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 28% | +3.1 |
Confer with users to discuss issues such as computer data access needs, security violations, and programming changes.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 28% | +2.8 |
Develop plans to safeguard computer files against accidental or unauthorized modification, destruction, or disclosure and to meet emergency data processing needs.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 28% | +2.8 |
Perform risk assessments and execute tests of data processing system to ensure functioning of data processing activities and security measures.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Coordinate implementation of computer system plan with establishment personnel and outside vendors.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 15% | 28% | +4.2 |
| Total | 100% | 32% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- computer forensics
- ICT network security risks
- ICT security standards
- cyber attack counter-measures
- query languages
- information confidentiality
- penetration testing tool
- manage IT security compliances
- gather data for forensic purposes
- provide ICT consulting advice
Sources for this job· O*NET 15-1212.00· ESCO/ISCO 2529
IS WORK OVER?
ML engineer
29%
#64 / 623
View rankingML 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 |
|---|---|---|---|
Train models, features and notebooks.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 48% | +10.6 |
Evaluate, document and compare runs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 42% | +7.6 |
Deploy, monitor and retrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to product about what a good error is.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Dirty data, bias and model limits.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
On-call, incidents and rollback.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 29% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Train models, features and notebooks
- Evaluate, document and compare runs
- Deploy, monitor and retrain
- Talk to product about what a good error is
- Dirty data, bias and model limits
- On-call, incidents and rollback
- machine learning engineer
- ingeniero ml
- mlops
Sources for this job· O*NET 15-1221.00· ESCO/ISCO 2511