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Dive into a comprehensive exploration of security vulnerabilities in Azure's Machine Learning as a Service (MLaaS) platform in this 41-minute Black Hat conference talk. Uncover two broad classes of security issues identified during an investigation of Azure ML, a managed MLaaS from Microsoft. Learn about the potential risks associated with the widespread adoption of AI/ML systems and how the security posture of cloud platforms may be overlooked. Gain insights from security experts David Fiser, Magno Logan, and Nitesh Surana as they reveal their findings and discuss the implications for companies leveraging cloud-based machine learning operations.
