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Certified Trustworthy AI Analyst (CTAAI)
The "Certified Trustworthy AI Analyst (CTAAI)" course equips you to evaluate AI models for fairness, safety, and cybersecurity robustness. Analysts will learn methods to uncover hidden cyber vulnerabilities, biases, and compliance gaps that could jeopardize system integrity. Cybersecurity assessments are essential to prevent breaches and protect user data. Graduates are highly valued for their ability to safeguard AI operations, ensuring both ethical use and digital resilience in highly connected ecosystems.
Course Overview
None
Learning Objectives
- Understand the principles and techniques for analyzing trustworthy AI systems with a focus on security and reliability.
- Apply analytical methods to evaluate the security properties and potential weaknesses of AI models and data.
- Assess the robustness of AI systems against adversarial attacks and data manipulation, directly relevant to cybersecurity.
- Identify and document potential security vulnerabilities and provide recommendations for remediation.
- Contribute to the development of more secure and resilient AI applications through rigorous analysis.
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.