Practitioner’s Playbook for RSAIF 

RSAIF Practitioner’s Playbook: Implementing Responsible and Secure AI

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.

Módulos

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