Cybersecurity Analysts
Overall Exposure
2025 vs 2023
Theoretical Exposure
50What AI could do
Observed Exposure
20What AI actually does
Automation Risk Score
16Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2023 | 22 | 34 | 10 | 8 | actual |
| 2024 | 28 | 41 | 15 | 12 | actual |
| 2025 | 36 | 50 | 20 | 16 | actual |
| 2026 | 42 | 57 | 25 | 20 | estimated |
| 2027 | 47 | 63 | 29 | 24 | estimated |
| 2028 | 52 | 68 | 33 | 27 | estimated |
Task Breakdown
About This Occupation
If you work as a Cybersecurity Analyst, AI is reshaping your profession. With an automation risk of 16/100 and overall exposure at 36%, this role faces medium transformation. The highest-impact area is monitor network traffic for threats at 70% automation. This is classified as an 'augment' role. BLS projects +33% growth through 2034. AI dramatically enhances threat detection speed and accuracy, but the adversarial nature of cybersecurity means human analysts remain indispensable for strategic defense and novel attack response.
Frequently Asked Questions
With an automation risk score of 16%, Cybersecurity Analysts has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Cybersecurity Analysts is 16% (2025 data). Overall AI exposure is 36%, with 50% theoretical exposure and 20% observed exposure. The risk trend from 2023 to 2025 is +8 points.
The tasks with the highest automation potential for Cybersecurity Analysts are: Monitor network traffic for threats (70%), Analyze security alerts and triage incidents (55%), Conduct penetration testing and vulnerability assessments (30%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects +33% employment change for Cybersecurity Analysts from 2024 to 2034. Combined with an overall AI exposure of 36%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Cybersecurity Analysts should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.