Master the essentials of AI security with the RSAIF Practitioner’s Playbook, offering hands-on strategies and tools for implementing ethical AI governance and ensuring robust security practices.
Course Modules
Module 1: AI Security Foundations – Responsible Development & Secure Design
- 1.1 Overview of AI Security Challenges
- 1.2 Secure Design Principles
- 1.3 Best Practices for Secure AI
- 1.4 Hands-On: Threat Modeling Workshop
Module 2: AI Threat Models
- 2.1 Introduction to Threat Modeling
- 2.2 Creating an AI Threat Model
- 2.3 Tools for Threat Modeling
- 2.4 Case Study: AI in Autonomous Vehicles
Module 3: Secure AI SDLC (Software Development Lifecycle)
- 3.1 SDLC Overview
- 3.2 AI-Specific Security Measures
- 3.3 Continuous Monitoring & Feedback Loops
- 3.4 Hands-On: Integrating Security in AI Development
- 3.5 Use Case: AI Fraud Detection System
Module 4: Enforcement & Model Integrity
- 4.1 Securing AI Systems Post-Deployment
- 4.2 Model Integrity and Auditing
- 4.3 Hands-On: Implementing RBAC
Module 5: Audit Readiness & Red-Teaming
- 5.1 Preparing AI Systems for Audits
- 5.2 Red-Teaming for AI Systems
- 5.3 Hands-On: Red-Teaming Simulation
Module 6: Toolkits & Automation
- 6.1 Introduction to AI Security Tools
- 6.2 Automating AI Security and Compliance
- 6.3 Hands-On: Tool Integration
