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Learn to identify and mitigate critical security risks in AI workloads deployed on AWS in this conference presentation from AWS re:Inforce 2025. Explore key findings from Tenable's latest AI risk research and discover the unique security challenges that emerge from the rapid growth of AI application development in cloud environments. Examine common vulnerabilities in AI software, cloud misconfigurations that expose sensitive data and AI models, and the layered security risks inherent in default AI service configurations. Master best practices for securing AWS Bedrock and SageMaker deployments while understanding how to protect your AI infrastructure from emerging threats. Gain practical insights into governance, risk, and compliance considerations specific to AI workloads, and develop strategies to ensure your AI applications maintain robust security postures throughout their lifecycle.
