Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

This blog post provides guidance on architecting defense-in-depth security for generative AI applications using large language models (LLMs). It discusses common security risks and recommends strategies to mitigate them.

Specifically, the article covers:

• Starting with security in mind to develop organizational resiliency for generative AI
• Building generative AI applications on AWS's secure cloud infrastructure
• Applying a defense-in-depth approach with layered security across different trust boundaries
• Analyzing and mitigating risks in LLM application components like user interface, application, model, data, and organizational interactions
• Conclusion emphasizing the importance of embedding security early for successful generative AI innovation