Web Security Engineer
M1833
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 the central actor in decision-making and strategy for web security. AI augments your work by automating information gathering and analysis, while leaving critical decisions to your expertise.
AI handles repetitive collection and analysis while amplifying your technical and strategic decisions in web security.
What will change
- Continuous collection and synthesis of technical information and indicators of compromise, as AI crawls and correlates numerous sources faster than manual intervention.
- Automatic anomaly detection and execution of tests (fuzzing, scans): AI runs and analyzes large volumes of tests to identify recurring vulnerabilities.
- Initial triage of scan results and generation of standardized reports: AI prioritizes and ranks items according to rules and historical data, reducing pre-analysis work.
What AI will improve
- Integration into development: AI suggests sample fixes, static analysis rules and test cases, which speeds up your code reviews and technical recommendations.
- Risk analysis: AI produces scenarios, impact matrices and exploitation simulations, allowing you to focus your judgment on the measures and trade-offs to take.
- Supervision of detection systems: AI correlates alerts and formulates attack hypotheses, helping you refine rules, investigate and adjust the response strategy.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Web 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 the formulation and interpretation of prompts for AI models to steer analyses
- Establish audit and validation protocols for AI outputs and automated detections
- Industrialize the integration between security tools and AI workflows while documenting human supervision loops
3-year outlook
In three years, the role will be focused on supervising and orchestrating augmented tools, with more time devoted to strategy and secure design. You will move toward roles as an integrator of AI capabilities and as the guarantor of business context, retaining responsibility for critical decisions.
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
5Tasks most augmented by AI
7Your role isn't an average.
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Frequently Asked Questions
AI augments you by automating repetitive tasks and speeding up data processing. You retain the central role for complex arbitrations, prioritization, and alignment with business objectives.
Implement audit procedures, feedback loops, and realistic test suites to evaluate output quality. Maintain regular human supervision and adapt rules and models based on operational feedback.
Strengthen your ability to critique and contextualize AI results, your technical skills in detection, and your capacity to collaborate with developers. Also work on governance and traceability to retain control of augmented processes.