[Public Training with Exam: Septmber 19-20, 2024]
The Certified AI Penetration Tester – Red Team™ (CAIPT-RT™) Certification Course by Tonex is a comprehensive program designed for cybersecurity professionals aiming to specialize in artificial intelligence (AI) penetration testing. This advanced course equips participants with the knowledge and skills needed to assess and secure AI-driven systems effectively.
Tonex’s Certified AI Penetration Tester – Red Team™ (CAIPT-RT™) Certification Course is a comprehensive cybersecurity program for professionals. It covers AI security fundamentals, penetration testing methodologies, vulnerability assessment, and practical experience. The course prepares participants for the CAIPT-RT™ Certification.
Learning Objectives:
- Gain expertise in AI penetration testing methodologies.
- Develop hands-on skills in identifying and exploiting AI vulnerabilities.
- Learn advanced techniques for securing AI-based applications and systems.
- Understand the intersection of AI and cybersecurity for effective threat detection.
- Acquire proficiency in assessing the security of machine learning models.
- Obtain the Certified AI Penetration Tester – Red Team™ (CAIPT-RT™) Certification.
Audience: This course is ideal for cybersecurity professionals, ethical hackers, penetration testers, and IT professionals seeking specialized knowledge in AI security. Additionally, it is suitable for individuals responsible for securing AI-powered applications and systems.
Pre-requisite: None
Course Outline:
Module 1: Introduction to AI Security
- AI Landscape Overview
- The Role of AI in Cybersecurity
- Current Threat Landscape for AI Systems
- Impact of AI Security on Business Operations
- Regulatory Compliance in AI Security
- Case Studies on AI Security Incidents
Module 2: AI Penetration Testing Fundamentals
- AI-Specific Attack Vectors
- Tools for AI Penetration Testing
- Methodologies for Assessing AI Systems
- Adversarial Machine Learning Concepts
- Threat Modeling in AI Environments
- Practical Labs on AI Penetration Testing Techniques
Module 3: Vulnerability Assessment for AI Systems
- Identifying Vulnerabilities in AI Models
- Risk Analysis for AI Security
- Common Weakness Enumeration (CWE) for AI
- AI-specific Threat Intelligence
- Prioritizing and Categorizing AI Vulnerabilities
- Reporting and Communication of AI Security Findings
Module 4: Exploiting AI Vulnerabilities
- Practical Exercises on Exploiting AI Weaknesses
- Case Studies of Successful AI Attacks
- Real-world Examples of AI Exploitation
- AI-Driven Social Engineering Tactics
- Countermeasures against AI Exploits
- Legal and Ethical Considerations in AI Exploitation
Module 5: Securing AI Applications and Systems
- Best Practices for AI Software Security
- Securing AI Platforms and Infrastructure
- Data Privacy and AI Security
- Encryption and Authentication in AI Systems
- Secure Development Lifecycle (SDL) for AI
- Implementing Defensive Strategies in AI Environments
Module 6: Certification Exam Preparation
- Review of Key Concepts in AI Security
- Practical Skills Refresher
- Mock Exams for CAIPT-RT™ Certification
- Test-Taking Strategies for Certification Success
- Q&A Sessions and Clarifications
- Final Preparations for the Certification Exam
Exam Domains:
- AI Fundamentals
- Penetration Testing Methodology
- AI Security Risks and Vulnerabilities
- Exploiting AI Systems
- AI-based Attack Techniques
- Countermeasures and Defense Strategies
Question Types:
- Multiple Choice Questions (MCQs)
- True/False Statements
- Scenario-based Questions
- Practical Lab Assessments
- Essay Questions (for in-depth analysis)
Passing Criteria:
To pass the Certified AI Penetration Tester – Red Team™ (CAIPT-RT™) Training exam, candidates must achieve a minimum score of 70%. This passing score ensures that candidates have demonstrated proficiency in each domain and have a comprehensive understanding of AI penetration testing principles, methodologies, and practices.