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Certified AI Security Architect (CASA)
The Certified AI Security Architect (CASA) certification is designed to equip professionals with the knowledge and skills necessary to design, implement, and manage secure AI systems. This certification covers a range of topics from the foundational principles of AI and machine learning to advanced security strategies specific to AI technologies.
Course Overview
None
Learning Objectives
- Understand fundamental concepts of artificial intelligence (AI) security.
- Identify common threats and vulnerabilities in AI systems.
- Learn techniques to secure AI models and data.
- Explore ethical considerations in AI security.
- Develop skills to implement security measures in AI applications.
- Gain knowledge of regulatory compliance relevant to AI security.
- Master best practices for monitoring and mitigating AI security risks.
- Capable of designing and implementing secure AI architectures.
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.