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Certified AI Incident Handling Engineer (CAIIHE)
"Certified AI Incident Handling Engineer (CAIIHE)" prepares cybersecurity professionals to detect, respond to, and recover from AI-specific threats such as model poisoning, prompt injection, and adversarial inference. Participants learn incident response protocols tailored for AI ecosystems, covering both technical and ethical considerations. This certification ensures that engineers can manage real-time AI incidents without compromising data integrity or system availability. Graduates become key defenders in organizations deploying AI in sensitive and high-stakes environments.
Course Overview
None
Learning Objectives
- Understand the incident handling process for AI-powered systems.
- Identify and analyze security incidents specific to AI applications.
- Develop strategies for responding to and recovering from AI-related incidents.
- Implement best practices for AI incident detection and prevention.
- Learn how effective AI incident handling contributes to overall cybersecurity posture by minimizing the impact of breaches in intelligent systems.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.