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Generative AI Security - AWS: The Most Secure Cloud For AI

Presented by

Gerry Miller, Founder & CEO, Cloudticity; Riggs Goodman III, Principal Partner Solution Architect, AI Security and Networking Tech Lead, Amazon Web Services

About this talk

Generative AI is transforming healthcare, but deploying it safely in the cloud requires more than model tuning and experimentation. For organizations operating under strict regulatory requirements like HIPAA and HITRUST, GenAI introduces new security, compliance, and operational risks that demand a fresh architectural approach. In this webinar, Cloudticity and AWS will explore how healthcare and life sciences organizations can adopt generative AI confidently, without compromising on security or compliance. We’ll walk through real-world use cases, emerging threats (like prompt injection and data leakage), and the frameworks shaping AI governance, including NIST AI RMF and the OWASP Top 10 for LLMs. You’ll learn how Cloudticity and AWS work together to build HITRUST-ready GenAI environments, automate security enforcement, and provide full-stack observability from prompt to pipeline. Whether you're experimenting with LLMs or scaling enterprise-grade AI infrastructure, this session will help you move fast while staying secure. Key Takeaways: • Key risk areas for GenAI in the healthcare cloud • How to design compliance-ready GenAI environments on AWS • Real-time monitoring and mitigation strategies for GenAI-specific threats • Offers to help you assess your GenAI security posture
AWS Clouditcity- NA - Channel

AWS Clouditcity- NA - Channel

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