Ai Product Security: Building Strong Data Governance And Protection
 

Establish and manage robust data security and governance frameworks to protect AI systems, ensure compliance, and mitigate security risks throughout the AI product lifecycle.
Course details
This course aims to enable enterprise security professionals to develop strong data governance frameworks and security practices that protect sensitive data, ensure model integrity, and maintain compliance with global regulations. Learn how to secure AI data pipelines, implement zero-trust and least-privilege access models, and address emerging threats such as adversarial attacks and model poisoning. Join instructor Meghan Maneval to find out how to establish, manage, and evolve AI data governance and security policies that protect against risks while ensuring compliance and accountability.
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