AI Security (SecAI+/AAISM)
AI and Machine Learning security: adversarial attacks, model security, data privacy and AI governance. 24-hour corporate training.
What You'll Learn
5 modules · 23 topics · 24 hours
AI/ML Fundamentals for Security
- AI/ML overview
- Models and training
- AI system architecture
- AI threat landscape
Adversarial Attacks
- Adversarial examples
- Evasion attacks
- Poisoning attacks
- Model inversion
- Extraction attacks
Model Security
- Secure model training
- Robustness testing
- Model validation
- Supply chain security
- Deployment security
Data Privacy
- Privacy-preserving ML
- Differential privacy
- Federated learning
- Compliance (GDPR, AI Act)
AI Governance
- AI risk management
- NIST AI RMF
- ISO 42001
- Explainability
- Audit and monitoring
Course Overview
Emerging AI security training covering adversarial attacks, model robustness, data privacy and governance. Aligns with SecAI+/AAISM topics.
Who Should Attend
Security professionals, ML engineers, AI researchers, Risk managers.
Prerequisites
Basic AI/ML knowledge; security fundamentals.
Tools & Technologies
Python, TensorFlow/PyTorch, Adversarial Robustness Toolbox, Privacy libraries, AI security frameworks
Frequently Asked Questions
Security professionals, ML engineers, AI researchers, Risk managers.
Basic AI/ML knowledge and security fundamentals.
Yes. We provide Python environments and ML security tools for hands-on practice.
We cover topics from both emerging certifications; formal certification exams are external.
Ready to Upskill Your Team?
Request a quote for AI Security (SecAI+/AAISM) corporate training. We'll customize the curriculum, schedule and delivery mode to fit your team.