Our comments:
Cybersecurity Specialist
Moderate but identified impact of AI on this Job
26,67%
level of automation
0%
100%
This section reviews the 3 main tasks associated with the job studied and assesses the potential level of automation induced by AI ('AI Automation Impact').
The modeling uses 8 criteria detailed on the 'Methodology' page.
The modeling uses 8 criteria detailed on the 'Methodology' page.
| Tasks | AI Automation Impact |
|---|---|
| Analyze and strengthen the security of computer systems | Significant |
| Respond to and manage security incidents | Moderate |
| Update security protocols and tools | Low |
Through our research, we have identified two pivotal categories of skills that will be impacted by AI-driven automation :
- 'At-risk skills,' which are likely to become obsolete due to their susceptibility to automation
- 'Future-proof skills', which are projected to retain their value and resist automation, thereby ensuring their relevance in the forthcoming job market.
| At-risk Skills | |
|---|---|
| Design technical documents | With the rise of dynamic documentation and integrated knowledge management systems, the need to create traditional technical documents may diminish. Cybersecurity specialists might require skills in automated documentation systems. |
| Implement technical operating, usage, and security procedures for equipment | With the rise of dynamic documentation and integrated knowledge management systems, the need to create traditional technical documents may diminish. Cybersecurity specialists might require skills in automated documentation systems. |
| Future-proof Skills | |
|---|---|
| Hack new threats | The fundamental understanding of security principles will always remain relevant. While tools and technologies may change, the empirical necessity to test best practices will remain. |
| Incident analysis | The ability to analyze and respond to security incidents, spot vulnerabilities will always be critical, especially with the constant increase in cyber threats. This skill remains relevant in the face of rapidly evolving technology. |
How does AI impact this job type ?
Get the full analysis
Despite the availability of AI-powered detection tools, the field of cybersecurity heavily relies on human expertise to address continually evolving threats. Security decisions wield substantial consequences and demand a nuanced comprehension of risks and priorities, which proves challenging to entirely encapsulate within algorithms. Moreover, the management of security incidents and the updating of protocols frequently necessitate inter-team coordination, strategic planning, and swift responsiveness, all of which can only be effectively provided by human experts.