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Securing AI Applications: From Threats to Controls
Defend generative AI systems with firewalls, SPM, and data governance controls
🎯 Ce que vous allez apprendre et maîtriser
✓
Identify common threat vectors targeting generative AI systems
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Configure AI firewalls and security posture management tools
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Implement data governance frameworks for model training
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Mitigate prompt injection and adversarial attacks
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Secure model deployment pipelines and runtime environments
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Evaluate and improve overall AI security posture
📖 Aperçu du cours et programme
This course provides a practical deep-dive into protecting generative AI systems from emerging threats. Andrii Piatakha explains how to deploy AI firewalls and implement Security Posture Management to monitor model behavior. The modules on data governance walk through concrete strategies for securing training pipelines and preventing prompt injection attacks. While the content is technically dense, the instructor breaks down complex concepts like model hallucination mitigation into actionable steps. Ideal for developers and security engineers who need to move beyond basic awareness and build actual defenses for their AI applications.
📚 Structure du programme de cours
6 modules principaux📋 Prérequis et compétences requises
- None
💼 Métiers et débouchés professionnels
AI Security Engineer
Machine Learning Operations Specialist
Cybersecurity Analyst
Foire aux questions (FAQ)
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Durée :
8 total hours
Certification :
Completion certificate
Langue :
English
Formateur :
Andrii Piatakha