Consultant·e - Stage de fin d'études - Nantes – CYB – Comment augmenter le pentest et le red teaming à l'ère de l'IA générative ? Infrastructure, usages et doctrine offensive assistée par IA
Core
Build a doctrine and end-to-end POC for AI-augmented pentesting and red teaming, mapping tools, infrastructure choices, and ethical frameworks to increase offensive security production capacity.
Role type
Intern (Cybersecurity / AI Strategy)
Builds
AI-augmented offensive security playbooks, tooling grids, and commercial pitch materials for Red Team services.
Domain
Cybersecurity (Offensive Security) + Generative AI
Deliverable
production ML models | product features | research | client delivery
Required skills
Data & AI basics, AI use case understanding, Data & IA governance, Business analysis, ROI/KPI sensitivity
Preferred skills
Understanding of operating models, Change management
Technologies
PentestGPT, HackerGPT, WhiteRabbitNeo, HackingBuddyGPT, Claude Code, Codex, MCP servers, Burp Suite, Nmap, Metasploit, BloodHound, Nuclei, Ollama, vLLM, SecNumCloud, EU Data Boundary, Hack The Box, TryHackMe
Responsibilities
Conduct state-of-the-art analysis of AI-assisted pentesting/red teaming, map market tools, analyze infrastructure constraints (public/private/local LLMs), study economic/technical constraints (pricing, guardrails), design a selection grid, formalize an ethical/legal framework, implement an end-to-end POC, and contribute to commercial pitches.
Seniority
Intern