AI Security Engineer: Zero to Advanced
Master the skills to secure AI systems, from threat modeling to advanced defense strategies, and become a sought-after AI Security Engineer.
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Fundamentals of AI Security and Threat Modeling
Unit 1: Introduction to AI Security
Why AI Security Matters
Unique AI Vulnerabilities
AI Security Principles
The AI Security Landscape
Intro to Threat Modeling
Unit 2: AI-Specific Threat Modeling Techniques
Data Poisoning Attacks
Model Evasion Attacks
Model Inversion Attacks
Adversarial Reprogramming
STRIDE for AI
Unit 3: AI Security Best Practices and Regulations
Secure AI Development
Data Governance
Incident Response
AI Security Standards
Regulations & Compliance
Securing AI Training Data and Pipelines
Unit 1: Data Security Fundamentals for AI
Data Security Overview
AI Data Lifecycle
Access Control Models
Encryption Basics
Secure Data Storage
Unit 2: Data Anonymization Techniques
Anonymization Overview
Data Masking
Data Generalization
Differential Privacy
k-Anonymity
Unit 3: Securing AI Training Pipelines
Pipeline Security
Secure Data Ingestion
Secure Preprocessing
Secure Model Training
Pipeline Monitoring
Unit 4: Data Governance and Compliance
Data Governance Intro
Data Governance Policies
Compliance Frameworks
Audit Trails
Incident Response
Developing and Deploying Secure AI Models
Unit 1: Adversarial Training for Robustness
Intro to Adversarial ML
Crafting Adversarial Data
Adversarial Training
Evaluating Robustness
Adversarial Training Tips
Unit 2: Federated Learning with Privacy
Intro to Federated Learn
Differential Privacy
FL with DP
Privacy Budgeting
FL Security Concerns
Unit 3: Homomorphic Encryption for AI
Intro to HE
HE Schemes
Secure Model Deployment
HE Performance
HE Use Cases
Unit 4: Model Monitoring and Anomaly Detection
The Need for Monitoring
Key Metrics
Anomaly Detection
Responding to Attacks
Continuous Improvement
AI-Powered Security Solutions and Automation
Unit 1: AI for Threat Detection
Intro to AI Threat Detect
ML for Anomaly Detect
Real-time Threat Analysis
Alert Prioritization
Case Study: Threat Detect
Unit 2: AI for Incident Response
AI in Incident Response
Automated Investigation
AI-Driven Containment
Predictive IR
IR Case Study
Unit 3: AI for Vulnerability Management
Intro to AI Vuln Mgmt
Automated Vuln Scanning
Predictive Patching
AI-Driven Risk Scoring
Vuln Mgmt Case Study
Unit 4: Automating Security Compliance
Intro to Auto Compliance
Policy Implementation
Audit Trail Generation
Behavior Monitoring
Compliance Case Study
AI Supply Chain Security and Continuous Learning
Unit 1: Understanding AI Supply Chain Risks
AI Supply Chain Overview
Third-Party AI Models
Data Source Vulnerabilities
AI Development Tool Risks
Risk Assessment Frameworks
Unit 2: Securing the AI Lifecycle
Secure AI Design
Secure AI Development
Secure AI Deployment
AI Model Governance
Incident Response
Unit 3: Continuous Learning and Adaptation
Threat Landscape Monitoring
Staying Updated
Adapting Security Strategies
Collaboration & Info Sharing
Future Trends