Cybersecurity
Description
This course offers a progressive cybersecurity learning path, from foundational concepts (level 1) to more advanced topics (level 2), enriched with a module on security challenges related to artificial intelligence. Participants will learn to identify common and advanced digital threats, secure their work environments, and understand the specific risks posed by AI usage (data leaks, bias, AI-driven attacks).
Objectifs pédagogiques
Acquire essential cybersecurity fundamentals (level 1) Deepen threat analysis and defense techniques (level 2) Identify and counter phishing, malware, and social engineering Understand security risks related to using generative AI tools Adopt secure practices in the professional use of AI Know how to respond effectively to a security incident Understand the regulatory framework (GDPR, AI Act)
Programme détaillé
Level 1 – Fundamentals Overview of current cyber threats Phishing and social engineering: recognizing the traps Secure password management and multi-factor authentication Protection of personal and professional data Security for mobile devices and remote work Level 2 – Advanced 6. Ransomware and malware: analysis and response 7. Public Wi-Fi networks, VPN, and secure connections 8. Incident management: detection, reporting, escalation 9. Regulation and compliance (CIL, internal policy) AI Module 10. Introduction to generative artificial intelligence 11. Security risks related to AI usage (data leaks, hallucinations, bias) 12. AI-assisted attacks (deepfakes, AI-generated phishing) 13. Best practices for secure AI tool usage (Copilot, ChatGPT) 14. Legal and ethical framework of AI (AI Act, confidentiality) 15. Case study and attack simulation
Prérequis
-BAC/BAC+ -Regular use of a computer and professional email is recommended. -Level 2 assumes prior completion of level 1 or equivalent knowledge.