Tonex proudly presents the Certified AI Penetration Tester – Red Team™ (CAIPT-RT) Certification Course, an intensive program designed for cybersecurity professionals seeking expertise in offensive AI penetration testing. This course focuses on advanced techniques, tools, and strategies employed by red team specialists to identify and exploit vulnerabilities in AI systems.
Learning Objectives:
- Develop advanced skills in AI-specific penetration testing methodologies.
- Acquire proficiency in exploiting AI-specific vulnerabilities and weaknesses.
- Master techniques for bypassing AI defenses and security measures.
- Gain insights into adversarial AI attacks and offensive strategies.
- Explore the nuances of simulating real-world AI cyber threats.
- Attain the CAIPT-RT certification, validating expertise in AI red teaming.
Audience: Tailored for experienced cybersecurity professionals, ethical hackers, and penetration testers, the Certified AI Penetration Tester – Red Team™ (CAIPT-RT) Certification Course is ideal for those responsible for proactively testing the security of AI systems. This course caters to individuals seeking advanced offensive skills in the context of AI penetration testing.
Course Outline:
Module 1: Advanced AI Penetration Testing Methodologies
- Overview of Advanced AI-Specific Penetration Testing Techniques
- In-Depth Threat Modeling for AI Environments
- Exploitation of AI-Specific Vulnerabilities and Weaknesses
- Advanced Social Engineering Techniques in AI Context
- In-Depth Attack Surface Analysis for AI Systems
- Real-World Case Studies on Successful AI Penetration Tests
Module 2: Exploiting AI-Specific Vulnerabilities and Weaknesses
- Techniques for Identifying and Exploiting AI System Vulnerabilities
- AI Model Vulnerability Assessment and Exploitation
- Evading Patch Management Strategies in AI Systems
- Bypassing AI-Specific Intrusion Detection and Prevention
- Exploiting Weaknesses in Secure Configuration Practices for AI Environments
- Real-Time Monitoring and Exploitation in AI Security
Module 3: Bypassing AI Defenses and Security Measures
- Countermeasures Against Defensive Measures in AI Systems
- Strategies for Secure AI Development Practices Bypass
- Overcoming AI Model Hardening Techniques
- Tactics for Evading AI Data Pipeline Security
- Exploiting Weaknesses in AI-Specific Communication Protocols
- Real-Time Adaptation and Evasion of Adaptive AI Security Controls
Module 4: Adversarial AI Attacks and Offensive Strategies
- Understanding Adversarial AI Attacks
- Offensive Strategies for Targeted AI Attacks
- Developing and Deploying Malicious AI Models
- Techniques for Launching AI-Driven Cyber Attacks
- AI-Generated Threats and Exploitation Scenarios
- Case Studies on Successful Adversarial AI Attacks
Module 5: Simulating Real-World AI Cyber Threats
- Realistic AI Cyber Threat Simulation Approaches
- Incorporating AI in Red Team Operations
- Adapting Traditional Cyber Threat Simulation to AI Environments
- Real-World Cyber Threat Scenarios in AI Context
- Leveraging AI in Social Engineering Simulations
- Case Studies on Real-World AI Cyber Threat Simulations
Module 6: CAIPT-RT Certification Assessment
- Overview of the CAIPT-RT Certification Assessment
- Examination Format and Structure
- Strategies for Certification Preparation
- Mock Assessments and Feedback
- Successful Completion Criteria
- Awarding the Certified AI Penetration Tester – Red Team™ (CAIPT-RT) Certification
Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, hands-on workshops, and project-based learning, facilitated by experts in the field of AI Penetration Testing – Red Team. Participants will have access to online resources, including readings, case studies, and tools for practical exercises.
Assessment and Certification:
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in AI Penetration Testing – Red Team.
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.