Certified AI Malware Analyst (CAIMA)

Certified AI Malware Analyst (CAIMA) Certification Program by Tonex

The Certified AI Malware Analyst (CAIMA) Certification Program by Tonex is designed for cybersecurity professionals aiming to understand and mitigate threats posed by malicious AI models and adversarial payloads. This course equips learners with the skills to analyze AI-driven malware, reverse-engineer adversarial ML binaries, and detect hidden backdoors or logic bombs within AI systems. Learners will gain expertise in identifying AI misuse within botnets and generating AI model signatures for enhanced endpoint defense. The program blends expert instruction with real-world case analysis to build deep, practical knowledge in this emerging cybersecurity domain.

Audience:

• Cybersecurity analysts
• Malware researchers
• Threat intelligence professionals
• AI/ML security specialists
• Digital forensics experts
• Incident response teams

Learning Objectives:

• Identify and analyze malicious AI model behavior
• Understand adversarial ML binaries and their risks
• Detect backdoors, logic bombs, and hidden model triggers
• Assess AI agents used in APTs and botnets
• Generate model signatures for AI threat detection
• Strengthen endpoint protection using AI-aware methods

Program Modules:

Module 1: Introduction to AI-Powered Malware

• Evolution of AI in malware development
• Differences between traditional and AI-based malware
• Threat landscape overview
• Role of ML models in malware operations
• Overview of AI-driven cyberattacks
• Legal and ethical concerns in AI malware research

Module 2: Malicious AI Model Behavior Analysis

• Behavioral analysis techniques
• Trigger-based malicious behaviors
• Inference-time manipulation risks
• Anomaly detection in model outputs
• Indicators of model compromise
• Tools for static and dynamic AI model analysis

Module 3: Adversarial ML and Binary Decompilation

• Adversarial sample generation
• ML binary structures and formats
• Reverse engineering AI malware binaries
• Identifying embedded ML logic
• Feature space manipulation techniques
• Tools for ML binary decompilation

Module 4: AI Agents in Botnets and APTs

• Autonomous decision-making in threats
• AI bots in command and control (C2)
• Case studies of AI-based APTs
• AI-enhanced evasion and persistence
• Detection strategies for AI bots
• Behavior fingerprinting of AI-based threats

Module 5: Model Backdoors and Logic Bombs

• Types of AI model backdoors
• Logic bomb triggers in neural networks
• Methods of inserting backdoors
• Detecting and mitigating hidden functions
• Input fuzzing for model security testing
• Backdoor persistence and stealth techniques

Module 6: AI Model Signature Generation

• Building detection signatures from AI models
• Static vs. dynamic AI signature approaches
• Signature deployment on endpoints
• Correlation with known threat behaviors
• Role of hashing and fingerprinting
• Integration with SIEM and EDR systems

Exam Domains:

1. AI Threat Taxonomy and Classification
2. Model Exploitation Techniques
3. Reverse Engineering AI Systems
4. Detection and Response Strategies
5. Threat Hunting for AI-Driven Malware
6. Signature Engineering and Validation

Course Delivery:

The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of AI malware analysis. 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 Certified AI Malware Analyst (CAIMA).

Question Types:

• Multiple Choice Questions (MCQs)
• True/False Statements
• Scenario-based Questions
• Fill in the Blank Questions
• Matching Questions (Matching concepts or terms with definitions)
• Short Answer Questions

Passing Criteria:

To pass the Certified AI Malware Analyst (CAIMA) Certification Training exam, candidates must achieve a score of 70% or higher.

Take your cybersecurity expertise to the next level. Enroll in the CAIMA Certification Program by Tonex and become a trusted AI malware analyst in this rapidly evolving threat landscape.