🤖 Module 1: AI Security Fundamentals
Build a solid foundation in AI security concepts, threat landscape, and basic protection mechanisms
📚 Learning Objectives
By the end of this module, you will be able to:
- Understand AI and machine learning security concepts
- Identify AI-specific threat vectors and attack surfaces
- Recognize common AI security vulnerabilities
- Apply basic security controls for AI systems
- Understand the AI security ecosystem and tools
- Set up a secure AI development environment
🎯 Module Lessons
1
Introduction to AI Security
Understanding AI systems and their unique security challenges
Key Topics:
- AI and ML system components
- Unique security challenges in AI
- AI attack surface analysis
- Security vs. performance trade-offs
- AI security lifecycle
2
AI Threat Landscape
Comprehensive overview of threats targeting AI systems
Key Topics:
- Adversarial attacks overview
- Data poisoning threats
- Model extraction attacks
- Backdoor attacks
- Privacy attacks on ML models
3
AI Attack Surface Analysis
Identifying vulnerabilities in AI system components
Key Topics:
- Training data vulnerabilities
- Model architecture weaknesses
- Inference pipeline security
- API and deployment security
- Supply chain risks
4
Basic AI Security Controls
Implementing fundamental security measures for AI systems
Key Topics:
- Secure data handling practices
- Model validation and testing
- Access control for AI systems
- Monitoring and logging
- Incident response for AI
🧪 Hands-On Labs
Lab 1: AI Security Environment Setup
Objective: Set up a secure development environment for AI security testing
Duration: 90 minutes
Beginner
- Install Python security libraries
- Set up Jupyter notebooks securely
- Configure adversarial attack tools
- Create isolated testing environment
- Implement basic security controls
🔗 External Resources:
📊 Module Assessment
Final Module Assessment
Test your understanding of AI Security Fundamentals with our comprehensive assessment.
20 Questions
30 minutes
70% to pass
Topics Covered:
- AI Security Concepts
- Threat Landscape
- Attack Surface Analysis
- Basic Security Controls
🔗 Additional Resources
Official Frameworks
Tools & Libraries
- CleverHans - Adversarial attack library
- ART - Adversarial Robustness Toolbox
- Responsible AI Toolbox