+61 439 052 199 contactus@birdmois.com
Login

    • Practitioner’s Playbook for RSAIF 

    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.

    Enroll Now Enquire Now
    Practitioner’s Playbook for RSAIF 
    Price: USD $195.00

    At a Glance: Course + Exam Overview

    Category AI Security
    All Courses
    Cyber Security Analyst
    English
    Ethical Hacker / Penetration Tester
    Language
    Network Security Engineer
    RSAIF
    Program Name Practitioner’s Playbook for RSAIF 
    Prerequisites
      • Hands-On Security Strategies: Focused on professionals, the content emphasizes real-world security techniques, empowering participants to apply advanced tools and frameworks to secure AI systems.
      • Engagement with Practical Security Tools: Participants will work with security tools for threat modeling, adversarial testing, and monitoring, gaining direct experience in securing AI models.
      • Interactive Experience and Application: Through live sessions and collaborative activities, participants will create security plans, developing actionable insights to protect AI systems from real-world threats.
      • Advanced Self-Paced Content: Post-live sessions, self-paced modules explore complex AI security concepts, ensuring continuous learning and helping participants master the application of security frameworks in practice.
    Exam Format 50 questions, 20% passing, 90 Minutes

    What You'll Learn

    • AI System Security
      Gain practical skills in securing AI systems throughout the development lifecycle, from design to deployment.
    • Threat Identification & Mitigation
      Learn how to identify and mitigate AI-specific threats like adversarial attacks, model drift, and data poisoning.
    • AI Governance & Compliance
      Master AI governance frameworks and regulatory compliance, including GDPR, NIST, and the EU AI Act.
    • Security Tool Integration
      Develop hands-on expertise in integrating security tools and techniques for continuous monitoring of AI systems.
    • Real-World Case Studies
      Understand how to apply real-world case studies to address security challenges in AI applications.

    Certification Modules

    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

    Finish the course and get certified

    Certificate 1

    Frequently Asked Questions

    Yes, the course offers hands-on experience with security tools and threat modeling, allowing you to immediately apply strategies to secure AI systems.

    This course focuses on practical, real-world applications of the RSAIF security frameworks, addressing AI-specific risks and threats throughout the AI lifecycle.

    You’ll work on securing AI systems through hands-on labs, threat modeling, adversarial testing, and continuous monitoring, applying what you learn to practical AI security challenges.

    The course blends theoretical concepts with practical, hands-on exercises, ensuring you gain real-world skills in AI security, including the use of key security tools.

    The course equips you with the skills to integrate security into AI development and deployment, preparing you for roles focused on securing AI systems and managing AI risks.

    Prerequisites

    `

    Exam Details

    Duration

    90 Minutes

    Passing Score

    20%

    Format

    50 multiple-choice/multiple-response questions

    Course Price: USD $195.00
    Self-Paced Online
    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)