Meetup #12: Securing AI Workloads on AWS: Guardrails from Code to Cloud

Securing AI Workloads on AWS: Guardrails from Code to Cloud

AI is moving from experiments to production across every industry, and teams that build security in from day one are the ones that ship with confidence.
But AI workloads bring new challenges around prompt attacks, data privacy, rapid AI-assisted development, and agents with real-world capabilities. How can we secure these workloads end to end, from the code you write to the models and infrastructure you run?
Join AWS User Group Puducherry for an insightful session with Duraimurugan, Head of Cloud at Meyi Cloud Solutions, as we explore how to apply guardrails at every layer, extend cloud security fundamentals to AI, and keep humans in control as AI takes on more of the work.

What you’ll explore

• Why AI workloads change the security picture, and understanding your responsibilities
• Key risks for AI applications and the AWS controls that address them
• Amazon Bedrock Guardrails: filtering harmful content, protecting PII, blocking prompt attacks, and reducing hallucinations
• Securing AI-assisted development, including a first look at a security service AWS launched just last week
• Cloud foundations for AI: identity, network, data protection, and monitoring
• A reference architecture and practical checklist you can apply right away

Speaker
Duraimurugan
Head of Cloud, Meyi Cloud Solutions

Event details
📅 Date: Nov 01 2026

⏰ Time: 5:00 PM – 6:00 PM IST
💻 Venue: Virtual (Google Meet)

Whether you're a cloud engineer, security professional, developer, architect, or AI enthusiast, join us to learn how to secure the next generation of AI applications on AWS.
Come curious, bring your questions, and learn with the community!

Hosted by AWS User Group Puducherry