Practitioner’s Playbook for RSAIF
- From 200 EUR + VAT
- Self-paced online Start anytime
- Language English
- Prerequisite Familiarity with AI systems and basic security principles
- Topic AI Security
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
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.
Prerequisites
Familiarity with AI systems and basic security principles
Audience
Who is it for
AI Security Professionals looking to enhance their practical skills in securing AI systems and managing risks across the AI lifecycle.
Data Scientists and Engineers who want to integrate security into AI model development and deployment pipelines.
AI Governance and Compliance Officers seeking to gain a deeper understanding of security measures and regulatory requirements for AI systems.
Tech Leads and Managers who oversee AI projects and need to ensure secure and ethical AI practices within their teams.
Cybersecurity Experts aiming to specialize in AI-specific threats and enhance their threat modeling and risk mitigation strategies.
Course content
Syllabus
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
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