Systems, Network & Security Engineer
M1884
Future work distribution
Human only
Collaboration
AI only
This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.
AI Position of the Job
AI Impact on this job
You remain at the center of critical decisions, AI increases your efficiency for repetitive and analytical tasks. It takes over routine operations and the initial sorting of alerts, while requiring your expertise for architecture, prevention and complex responses.
AI automates repetitive operations and provides advanced analyses, you retain control of critical decisions and security.
What will change
- Automation of backups and restorations: AI orchestrates runs, verifies the integrity of backups and triggers restorations according to rules, these systematic operations lend themselves well to automation under human supervision.
- Initial incident triage and first-level responses: AI correlates logs, identifies anomalies and applies standard remedies, it handles the first response to reduce operational load while requesting confirmation for sensitive actions.
- Preventive maintenance and routine tasks on systems and network equipment: AI schedules and applies repetitive patches and adjustments, it executes monitoring and optimization routines that follow defined rules, under your control.
What AI will improve
- Advanced log analysis and correlation: AI highlights relevant leads and prioritizes alerts, which accelerates diagnosis and allows you to focus on complex investigations.
- Attack simulations and hardening recommendations: AI generates scenarios and mitigation proposals, it enriches your strategic choices by providing options and estimated impacts.
- Design and optimization support: AI suggests optimized configurations and capacity scenarios, it facilitates trade-offs and helps you validate architectures according to business constraints.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Systems, Network & Security Engineer, AI can already do 36% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Master AI tools (LLMs, copilots, AIOps) and integrate them into workflows (monitoring, remediation, deployment).
- Strengthen skills in security, data governance, and compliance; remain vigilant about testing and recovery processes.
- Enhance architecture and design skills (IaC, security, and cost optimization), working closely with product and business teams.
3-year outlook
Over the next three years, AI will continue to accelerate engineering and operations cycles: routine tasks will be largely automated or assisted, and you’ll need to focus on high-value activities and supervision. The risk for your teams is a reshaping, with some roles shrinking or redefining, while other profiles become essential to manage AI and ensure security and governance.
AI tools used in this profession
Solutions deployed in production by professionals in this field
A general LLM assistant is already within reach
Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.
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Tasks most exposed to AI alone
7Tasks most augmented by AI
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Frequently Asked Questions
No, the profession won’t disappear, but it will evolve. AI and automation will take over repetitive tasks, allowing you to focus on design, architecture, and risk management. By embracing these technologies, you’ll enhance your value and ability to ensure system security and reliability.
The profession will remain necessary, but staffing levels will shift depending on projects and sectors. The focus will be on highly specialized profiles in cybersecurity, networking, and system engineering, capable of designing and securing complex architectures. Collaboration between humans and AI will boost productivity without reducing the need for expertise.
Start by identifying areas where AI can amplify your work, then develop advanced cybersecurity, cloud architecture, and zero trust skills. Invest in recognized certifications (e.g., CDA, CISSP, CCNA/CCNP, security standards) and participate in security or cloud migration projects. Finally, stay updated on technological trends and strengthen your ability to communicate technical challenges to management to align your actions with business priorities.