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:
- AI and Cyber Defense Mechanisms
- Incident Detection and Analysis in AI Systems
- AI-Powered Incident Response Strategies
- Post-Incident Recovery and AI System Hardening
- Legal and Ethical Aspects of AI Incident Response