Securing ChatGPT: Amazon Bedrock, Next.js, Pangea | The Big Dev Theory | S2 | Ep.4

How to Secure Chatgpt with Amazon Bedrock, Next.js, and Pangea

Stuart Clark
Amazon Employee
Published Apr 24, 2024
In this episode of The Big Dev Theory on Twitch we are joined by Pranav Shikarpur and Vanessa Villa from Panega. We delve into the process of building a secure and user-friendly ChatGPT experience using cutting-edge technologies and best practices. We'll explore how developers can leverage AWS Bedrock Llama models, Next.js for UI development, and Pangea APIs for PII redaction and secure audit logging.
The importance of these technologies becomes clear as we aim to prioritize security and user privacy in our ChatGPT application. AWS Bedrock Llama models provide a robust foundation for secure data handling, ensuring encryption, access control, and compliance standards are met. Next.js, on the other hand, enhances our UI development by offering server-side rendering capabilities, optimized performance, and seamless user interactions. Furthermore, PII redaction and secure audit logging using Pangea APIs are crucial aspects of our application development. PII redaction helps protect user identities by masking or removing personally identifiable information from chat transcripts, while secure audit logging enables detailed tracking of system activities for monitoring and response purposes.
Join us in this episode as we explore each of these components, highlighting their significance in creating a secure, efficient, and user-centric ChatGPT experience. Whether you're a developer looking to enhance your AI application's security or simply curious about the latest advancements in AI development, this episode will provide valuable insights and practical guidance.
Let's dive in and discover how these technologies come together to shape the future of conversational AI.

Links from the stream


Stuart Clark, Senior Developer Advocate @ AWS
Shannon Brazil, Incident Responder, CIRT @AWS

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