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Fundamentals of Gen AI Cybersecurity

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Fundamentals of Gen AI Cybersecurity

Instructeur : Vasco Patrício

Inclus avec

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

4 heures à compléter

Planning flexible

Apprenez à votre propre rythme

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

4 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

What are the key types of approaches in hacking, fraud and social engineering that Gen AI allows, as well as the best defenses against them
Specific Gen AI attacks to mitigate against, including synthetic documents, realistic pretexts, faster and larger-scale attacks, and more
How to prioritize Gen AI implementation, as well as key distinctions regarding bias, automation, hallucinations, and related

Compétences que vous acquerrez

Catégorie : Threat Detection
Catégorie : Cyber Threat Intelligence
Catégorie : Cybersecurity
Catégorie : Incident Management
Catégorie : Responsible AI
Catégorie : AI Enablement
Catégorie : LLM Application
Catégorie : Incident Response
Catégorie : AI literacy
Catégorie : Cyber Security Strategy
Catégorie : Cyber Security Assessment
Catégorie : Security Awareness
Catégorie : Cyber Attacks
Catégorie : Generative AI Agents
Catégorie : Security Strategy
Catégorie : AI Integrations
Catégorie : Security Controls

Outils que vous découvrirez

Catégorie : Generative AI
Catégorie : AI Workflows
Catégorie : Fraud detection

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

mai 2026

Évaluations

3 devoirs

Enseigné en Anglais

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Il y a 3 modules dans ce cours

Gen AI is rapidly changing cybersecurity, for both attackers and defenders. The attack types are not necessarily changing, but they are increasing in sophistication, speed and scale. In this course, you will learn how to tackle generative threats in areas such as hacking/intrusions, fraud, or social engineering.

You'll explore how attackers leverage Gen AI for various uses such as deepfakes, creating convincing pretexts or emotionally manipulative messages, using synthetic documents and identities for fraud, and more - as well as the best defenses against these. The course will also cover when to use (and not use) Gen AI, the pros and cons of implementing it into cybersecurity workflows, and management decisions that must be taken, besides the technological ones. What makes this course unique is its unique combination of Gen AI with cybersecurity knowledge. By the end, you will be able to know how to effectively protect against generative threats, and how to use Gen AI, yourself, in cybersecurity workflows.

Détails du module

Covering how Gen AI changes the practice of cybersecurity itself, including new types of threats, defenses, and how various operations and use cases are changed.

Inclus

7 vidéos4 lectures1 devoir

7 vidéosTotal 44 minutes

Course Introduction2 minutes
Module Introduction2 minutes
What Gen AI Changes in Cybersecurity7 minutes
The AI-Augmented Threat Landscape12 minutes
AI-Assisted Cyberattacks on Organizations11 minutes
The Organizational Exposure Assessment9 minutes
Module Conclusion2 minutes

4 lecturesTotal 40 minutes

Removing Realism from Identity10 minutes
What Can You Do?10 minutes
What Lies Beyond Forgeries10 minutes
Under Pressure10 minutes

1 devoirTotal 30 minutes

Module-End Quiz30 minutes

Covering the integration of Gen AI into specific workflows and use cases, including incident response, fraud prevention, security training and awareness, and more.