Session

Objection! AI Security Mistakes on Trial with Kubeflow and Confidential Computing

Enter the courtroom of cloud-native justice, where the most pressing AI security mistakes are put on trial. From exposed sensitive data to flawed model training and insecure pipelines, the prosecution will lay bare the vulnerabilities threatening AI deployments. But don’t worry—Kubeflow, confidential computing, and other powerful open source projects will take the stand to defend your AI infrastructure. Learn how these technologies work together to enforce robust security guardrails, protect sensitive data, ensure compliance, and mitigate the risks that come with AI operations. This session blends technical depth with courtroom drama to help you identify, understand, and address common AI security mistakes, so you can build secure, scalable AI pipelines with confidence. Join us for a verdict that ensures the protection of your AI workloads!

Karl Ots

Head of Cloud Security at EPAM | LinkedIn Instructor and Apress Author

New York City, New York, United States

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