IT Security Administrator
M1817
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 are an IT security administrator, and your expertise remains central. AI augments your role without replacing it; it takes on repetitive tasks and facilitates detection and remediation.
AI enhances your work by automating repetitive security tasks while leaving critical decisions and human oversight in place.
What will change
- Maintenance and updates of security software: AI orchestrates patch deployment, checks component health, and performs continuous update routines, reducing repetitive manual work.
- Automated vulnerability auditing: AI performs scans, correlates results, and identifies known signatures, handling the initial discovery and classification of vulnerabilities.
- Continuous log monitoring and alerting: AI ingests log streams, detects anomalies, and prioritizes alerts, ensuring initial detection and triage of events for the human team.
What AI will improve
- Contextual analysis and prioritization: AI aggregates audit and telemetry data to propose action priorities; you retain strategic judgment and validation of decisions.
- Design and adaptation of security policies: AI suggests policy templates and verifies their enforcement; you adjust rules according to business and regulatory constraints.
- Incident response and advanced investigation: AI proposes investigation scenarios and playbooks to accelerate diagnosis; you supervise corrective actions and communication to stakeholders.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For IT Security Administrator, 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 automation and orchestration tools to oversee and configure security workflows
- Develop critical analysis of AI-produced results to validate, contextualize, and adjust operational responses
- Strengthen skills in governance, compliance, and incident coordination to steer human-machine collaboration
3-year outlook
Within a few years, automation will handle a larger share of repetitive tasks, freeing you to focus on complex investigations and strategy. Your role will shift toward supervising intelligent systems, developing policies, and multidisciplinary coordination with an emphasis on ethics and compliance.
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.
Understand this baselineMap your whole team's AI exposure
See at a glance which roles to transform first and where to invest in training.
Tasks most exposed to AI alone
5Tasks most augmented by AI
7Your role isn't an average.
You've just seen the typical occupation. Your seniority, your tools and your team size change everything — unlock your personalized version in 2 minutes.
Frequently Asked Questions
AI handles routine tasks and early alerting, enabling you to focus on in-depth investigation and strategic decision-making. You will remain responsible for validating and contextualizing results and for remediation choices.
Invest in mastering automation platforms and scripting to operate the tools, and in critical analysis to interpret their outputs. Also strengthen your communication and governance capabilities to ensure safe and compliant integration.
Use AI to accelerate detection and centralize evidence, while maintaining clear human validation processes for remediation decisions. Implement audit procedures and regular exercises to ensure effective collaboration between teams and tools.