Building Secure and Responsible Gen AI Apps with Amazon Bedrock Guardrails

Generative AI is powerful. Building applications that are secure, responsible, and production-ready is where the real engineering begins.
In this practical, insight-packed session, we’ll explore how Amazon Bedrock Guardrails can help developers and cloud engineers build safer Generative AI applications by controlling model inputs and outputs, filtering harmful content, and protecting sensitive information.

What to Expect
🛡️ A practical introduction to securing Generative AI applications with Amazon Bedrock Guardrails
🔐 Best practices for implementing responsible AI controls and content filtering
🧠 How to detect and prevent harmful or inappropriate model responses
🔒 Techniques for protecting sensitive information and managing data privacy
⚙️ Practical examples of integrating Guardrails into Gen AI applications
🚀 Insights into building safer, more responsible, and production-ready Gen AI solutions
🤝 Networking and community learning with AWS builders, AI/ML practitioners, cloud engineers, and enthusiasts

Who Should Attend
• Developers building Generative AI applications
• Cloud and DevOps engineers working with AWS
• AI/ML practitioners exploring responsible AI
• Students and early-career technologists interested in Generative AI
• Anyone looking to understand how to build safer Gen AI applications on AWS

Why This Matters
Generative AI applications can introduce risks ranging from harmful content and prompt manipulation to unintended exposure of sensitive information. Understanding how to apply guardrails is therefore critical for teams moving Gen AI from experimentation into real-world applications.
This session will give you practical knowledge and patterns for building secure, responsible, and trustworthy Gen AI applications with Amazon Bedrock.

📅 22nd August 2026
⏰ 11:00 AM – 1:00 PM (GMT+3 / EAT)
💻 Online via Zoom
🎙️ Led by Ndung'u Kinyanjui, Cloud Engineer & AWS AI/ML Kenya User Group Member