Securing generative AI: fast-track innovation with AWS
How to scale your generative AI initiatives with utmost security, governance and compliance.
Generative AI has rapidly evolved from a theoretical concept to a business imperative, already delivering tangible benefits across verticals sectors and industries.
As organizations embrace this powerful technology, they are, at the same time, exploring how to leverage existing security tools to accelerate their generative AI initiatives.
In this deep-delve webinar session, AWS’s Senior Solutions Architect, Security, Anna McAbee will explain how AWS approaches the security considerations essential for building with generative AI.
Anna will also focus on the intersections of generative AI and security – what needs to be protected, how to ensure your models perform securely, and the steps security teams must take to quickly capitalize on the benefits of generative AI. In this webinar you will learn about:
Adapting your identity, access and data privacy policies to safeguard AI workloads.
Leveraging a security reference architecture using Amazon Bedrock and Amazon Q.
Practical strategies for adopting generative AI while maintaining resilience, privacy, governance, compliance and risk management best practices.
Speaker: Anna McAbee, Senior Solutions Architect, Security, AWS