Certified AI Penetration Tester – Blue Team™ (CAIPT-BT™)

Public Training with Exam: November 4-5, 2024

The Certified AI Penetration Tester – Blue Team™ (CAIPT-BT™) Certification Course by Tonex is a comprehensive program designed to equip cybersecurity professionals with the skills and knowledge needed to assess and secure AI systems. This course focuses on the blue team perspective, emphasizing defense strategies against AI-based cyber threats.

This is a cutting-edge program meticulously designed for cybersecurity professionals. This comprehensive course equips participants with the essential skills to assess and fortify AI systems, with a specific focus on the blue team’s defensive strategies. Covering AI integration, threat modeling, defensive mechanisms, penetration testing, and secure deployment, participants gain a profound understanding of AI security challenges.

The course ensures hands-on experience in identifying vulnerabilities, implementing robust defenses, and prepares individuals for the CAIPT-BT™ certification. Ideal for cybersecurity experts, ethical hackers, and IT managers, this course empowers professionals to safeguard organizations against emerging AI-driven threats.

Learning Objectives:

  • Gain a deep understanding of AI technologies and their vulnerabilities.
  • Develop proficiency in identifying and mitigating AI-specific security risks.
  • Master the art of implementing robust defense mechanisms for AI environments.
  • Acquire hands-on experience in penetration testing of AI systems.
  • Learn to assess and enhance the security posture of AI applications.
  • Obtain the Certified AI Penetration Tester – Blue Team™ (CAIPT-BT™) certification.


Cybersecurity professionals, ethical hackers, IT managers, and anyone responsible for securing AI systems within an organization.



Program Outlines:

Module 1: Introduction to AI Security

  • AI Integration in Cybersecurity
  • Security Challenges of AI Systems
  • Threat Landscape in AI Environments
  • Risks Associated with AI Technologies
  • Regulatory Considerations in AI Security
  • Case Studies of AI-Related Security Incidents

Module 2: AI Threat Modeling

  • Identifying AI-Specific Threats
  • Attack Vectors in AI Applications
  • Risk Analysis for AI Systems
  • Threat Intelligence in AI Security
  • Security Frameworks for AI Threat Modeling
  • Mitigating Risks in AI Implementations

Module 3: Defensive Strategies for AI Systems

  • Designing Robust Defense Mechanisms
  • AI Model Security Best Practices
  • Data Protection Strategies in AI
  • Intrusion Detection and Prevention for AI
  • Securing AI Infrastructure
  • Incident Response in AI Security

Module 4: Penetration Testing of AI Systems

  • AI Application Vulnerability Assessment
  • Adversarial Attacks on AI Models
  • Exploiting Weaknesses in AI Implementations
  • Ethical Hacking in AI Environments
  • Tools and Techniques for AI Penetration Testing
  • Reporting and Remediation of AI Security Findings

Module 5: Secure Deployment of AI Solutions

  • Secure Configuration of AI Systems
  • Deployment Best Practices for AI Models
  • Securing AI in Cloud Environments
  • DevSecOps for AI Development
  • Continuous Monitoring in AI Security
  • Third-Party Integration Security in AI

Module 6: Certification Exam Preparation

  • Key Concepts Review for CAIPT-BT™
  • Practice Exams and Mock Scenarios
  • Exam-Taking Strategies for Success
  • Certification Exam Policies and Procedures
  • Resources for Further Study
  • Q&A and Clarifications on Course Content

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 evaluated via quizzes, assignments, a capstone project, and a final exam. Those who successfully complete the course and pass the exam will be awarded a certificate in AI Penetration Testing – Red Team.

Exam Domains:

  • Introduction to AI Security
  • AI Vulnerability Assessment
  • AI Threat Modeling
  • AI Penetration Testing Methodologies
  • AI Security Tools and Techniques
  • AI Incident Response and Recovery
  • AI Defense Strategies
  • Ethical and Legal Considerations in AI Penetration Testing

Question Types:

  • Multiple Choice
  • True/False
  • Fill in the Blank
  • Matching
  • Scenario-Based Questions
  • Practical Simulations

Passing Criteria:

  • Candidates must achieve a minimum score of 70% to pass the exam.
  • Scores are calculated based on the overall performance across all domains.
  • Practical simulations may have specific criteria for completion or success, as determined by the examiners.

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