This program equips professionals with essential skills in detecting, analyzing, and mitigating AI-driven cyber threats. Participants gain insights into AI applications in threat intelligence, adversarial AI risks, and threat modeling techniques. The course emphasizes real-world threat scenarios, structured frameworks, and proactive intelligence practices. It is designed to prepare individuals for evolving challenges in cybersecurity where AI technologies are both tools and targets. The certification validates a professional’s ability to manage AI-based threats effectively and contribute to a robust cyber defense strategy in modern digital environments.
Audience:
- Cybersecurity professionals
- Threat intelligence analysts
- SOC team members
- AI and data security professionals
- Government and defense personnel
- IT risk management teams
Learning Objectives:
- Understand the role of AI in cyber threat intelligence
- Identify AI-specific threat vectors and attack surfaces
- Apply AI in threat detection and behavior analysis
- Develop mitigation strategies for adversarial AI
- Build intelligence-based defense frameworks
Program Modules:
Module 1: Fundamentals of AI in Cybersecurity
- Definition and role of AI in cybersecurity
- Benefits and risks of AI-driven defense
- AI vs. traditional security tools
- Threat detection using machine learning
- Role of NLP in threat intelligence
- Case studies of AI in cybersecurity
Module 2: Cyber Threat Intelligence Essentials
- Introduction to threat intelligence lifecycle
- Types of threat intelligence (strategic, tactical, etc.)
- Indicators of compromise (IOCs)
- Threat actor profiling
- Sources of threat intelligence
- Role of AI in automating CTI
Module 3: Adversarial AI and Attack Techniques
- Overview of adversarial machine learning
- Poisoning and evasion attacks
- Exploiting AI vulnerabilities
- Deepfake threats in cybersecurity
- Detecting adversarial inputs
- Tools to test AI model robustness
Module 4: Threat Intelligence Automation
- AI-driven threat data collection
- Automated analysis and alerting
- Threat prediction using algorithms
- Integration with SIEM and SOAR
- Real-time intelligence delivery
- Limitations of automation in CTI
Module 5: Building AI-Enabled CTI Frameworks
- Designing AI-integrated CTI systems
- Workflow orchestration for AI threat response
- Data labeling and model training
- API integration with intelligence feeds
- Ethical considerations in AI-CTI
- Performance metrics and KPIs
Module 6: Governance, Ethics, and Future Trends
- AI governance in cybersecurity
- Regulatory standards and compliance
- Ethical use of AI in threat analysis
- Risk management strategies
- Emerging trends in AI threat landscape
- Preparing for future AI threats
Exam Domains:
- AI Applications in Cybersecurity Intelligence
- Adversarial Threat Detection and Response
- Automated Threat Intelligence Systems
- AI Ethics, Privacy, and Governance in Cybersecurity
- Intelligence Data Analysis and Correlation
- AI Risk Profiling and Threat Actor Mapping
Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of Certified AI Cyber 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 Cyber Threat Intelligence.
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 Cyber Threat Intelligence (ACTI) Certification Training exam, candidates must achieve a score of 70% or higher.
Advance your cybersecurity career. Enroll in the ACTI Certification Program by Tonex and become a certified expert in AI-driven cyber threat intelligence.