Certified AI Threat Intelligence Analyst (CAITIA) Certification Program by Tonex
The CAITIA Certification Program by Tonex equips professionals with the skills to identify, analyze, and respond to threats targeting AI models and pipelines. This course focuses on AI-specific attack surfaces, adversarial threat hunting, and intelligence-driven defense strategies. Learners gain practical knowledge in dark web monitoring, tracking AI-focused threat actors, and interpreting AI-centric Indicators of Compromise (IOCs). CAITIA provides a comprehensive framework for defending AI systems across industries. Participants will explore MITRE ATLAS, adversarial techniques, and model exfiltration detection. This certification is ideal for professionals safeguarding AI technologies from evolving cyber threats.
Audience:
- Threat intelligence analysts
- AI/ML engineers
- Cybersecurity professionals
- SOC team members
- Security researchers
- Government and defense analysts
Learning Objectives:
- Understand AI threat landscapes and attack taxonomies
- Detect and respond to AI-specific threats and adversarial activity
- Monitor dark web for AI model threats
- Apply threat hunting to adversarial AI scenarios
- Use intelligence frameworks for AI-related IOC/IOA tracking
Program Modules:
Module 1: Foundations of AI Threat Intelligence
- Introduction to AI-specific threat intelligence
- Importance of AI model protection
- AI attack surfaces and vulnerabilities
- Threat intelligence lifecycle for AI
- Overview of threat actors targeting AI
- Intelligence collection challenges in AI
Module 2: AI Attack Taxonomies and MITRE ATLAS
- MITRE ATLAS framework deep dive
- Common attack techniques on AI systems
- Model inversion and extraction attacks
- Evasion, poisoning, and data manipulation
- Categorizing threats using ATLAS
- Mapping AI incidents to known techniques
Module 3: Dark Web Intelligence for AI Models
- Dark web forums and marketplaces overview
- Identifying leaked AI models and datasets
- Monitoring AI tool trade and tampering
- Techniques for dark web infiltration
- Language models abuse in underground forums
- Case studies on AI-related darknet threats
Module 4: Tracking AI-Focused APT Groups
- APT group motivations and AI targeting
- Attribution methods for AI threat actors
- AI infrastructure used by APTs
- Real-world examples of AI-targeted campaigns
- Intelligence reports on AI adversaries
- Defense implications of APT behaviors
Module 5: Adversarial Tools and Open-Source Hunting
- Overview of adversarial AI tools
- Threat hunting using open-source platforms
- Detecting anomalies in model behavior
- Adversarial inputs and red-teaming
- Hunting toolkits and repositories
- Collaboration with open-source communities
Module 6: IOC/IOA Frameworks and Model Exfiltration
- Developing AI-specific IOC/IOA schemas
- Model behavior anomaly detection
- Signals of model exfiltration
- Logging strategies for AI pipelines
- Integrating AI telemetry into SOCs
- Case-based analysis of model breaches
Exam Domains List:
- AI Cyber Threat Landscape and Intelligence Operations
- Adversarial AI Techniques and Defense Mechanisms
- Threat Actor Profiling and Attribution
- Open-Source and Dark Web Intelligence
- AI-Specific Detection and Response Frameworks
- Governance, Policy, and Ethics in AI Threat Intelligence
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 threat intelligence. 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 Threat Intelligence Analyst (CAITIA).
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 Threat Intelligence Analyst (CAITIA) Certification Training exam, candidates must achieve a score of 70% or higher.
Advance your career in AI cybersecurity—enroll in the CAITIA Certification Program by Tonex and become a trusted AI threat intelligence expert.