Length: 2 Days
The Certified AI Cyber Defense Incident Responder (CACDIR™) certification aims to train professionals in identifying, responding to, and mitigating cybersecurity incidents in AI environments. This program focuses on the unique challenges of AI systems, including detection of AI-specific threats and execution of response strategies.
Objectives:
- To develop expertise in incident response within AI-powered environments.
- To enhance skills in detecting, analyzing, and mitigating AI-specific cybersecurity threats.
- To promote understanding of the legal and ethical considerations in AI incident response.
- To improve communication and coordination skills during AI-related cybersecurity incidents.
Target Audience:
- Cybersecurity incident responders and analysts working with AI systems.
- AI professionals interested in cybersecurity and incident response.
- IT security managers and consultants focusing on AI cyber defense.
- Professionals in cybersecurity roles looking to specialize in AI incident response.
Certification Modules:
Module 1: Introduction to AI in Cybersecurity Incident Response
- Overview of AI technologies and their cybersecurity implications.
- Common types of cyber threats targeting AI systems.
Module 2: Detection and Analysis of AI-specific Threats
- Techniques for detecting cybersecurity threats in AI systems.
- Tools and methodologies for analyzing AI-related incidents.
Module 3: Incident Response in AI Environments
- Best practices for responding to cybersecurity incidents in AI systems.
- Developing and implementing incident response plans for AI-related breaches.
Module 4: AI-Powered Threat Intelligence
- Utilizing AI for threat intelligence gathering and analysis.
- Enhancing cybersecurity measures with AI-driven insights.
Module 5: Legal and Ethical Considerations in AI Incident Response
- Navigating legal frameworks and ethical dilemmas during AI incident handling.
- Compliance with regulations in the context of AI cybersecurity incidents.
Module 6: Recovery and Post-Incident Analysis
- Strategies for recovering from AI-related cybersecurity incidents.
- Conducting post-incident analysis and lessons learned to improve AI security.
Module 7: Hands-on Simulations and Case Studies
- Practical exercises in responding to simulated AI cybersecurity incidents.
- Analysis of real-world case studies to identify best practices and common pitfalls.
Module 8: Certification Exam Preparation
- Comprehensive review of AI incident response concepts and techniques.
- Practice exams and scenario-based exercises to prepare for the certification test.
Exam Domains:
- Fundamentals of AI in Cyber Defense
- Incident Response Procedures and Methodologies
- AI-based Threat Detection and Analysis
- Cyber Threat Intelligence and Information Sharing
- AI Integration in Incident Response Tools and Platforms
- Legal and Ethical Considerations in AI Cyber Defense
Question Types:
- Multiple Choice: Assessing knowledge and understanding of fundamental concepts, procedures, and methodologies in AI cyber defense.
- Scenario-based Questions: Presenting real-world scenarios to evaluate the candidate’s ability to apply AI-based techniques in incident response and threat analysis.
- Practical Exercises: Hands-on tasks to demonstrate proficiency in integrating AI technologies into incident response tools and platforms.
- Short Answer/Essay Questions: Assessing depth of understanding, critical thinking, and ability to articulate legal and ethical considerations in AI cyber defense.
Passing Criteria: To pass the CACDIR™ exam, candidates must meet the following criteria:
- Achieve a minimum score of 70% overall.
- Score at least 70% in each individual domain.
- Demonstrate practical proficiency in AI integration through successful completion of practical exercises.
- Provide appropriate and well-articulated responses to legal and ethical questions.
Candidates who meet these criteria will be awarded the Certified AI Cyber Defense Incident Responder (CACDIR™) certification.