Exploring the AI-Powered Future of Cloud Security with Thomas Johnson
On this episode of Cyber Sentries, host John Richards interviews Thomas Johnson, CTO and co-founder of Multiplayer, about how AI is transforming cloud security. As AI capabilities rapidly advance, Thomas provides insights into how engineering teams can leverage AI to enhance workflows, generate code, and convert basic sketches into functional systems.

John and Thomas dive into key questions surrounding AI ethics, choosing open source vs proprietary models, and best practices for handling sensitive data. Listen in to hear Thomas' advice for developers looking to integrate AI into their tech stacks.

Questions we answer in this episode:

How are dev teams currently using AI like Copilot?
What are the main differences between neural networks and other AI?
What security risks exist with generative AI models?

Key Takeaways

Focus on choosing the right problem and having clean, quality data.
Open source models offer more control compared to proprietary models.
Do not put sensitive data into generative models.

This fascinating discussion explores how AI is transforming cloud security and development workflows. Thomas provides practical insights into leveraging AI's immense potential while avoiding pitfalls. Whether you're an engineering leader or a developer new to AI, this episode offers an enlightening look at the AI-powered future of tech.
Links & Notes

(00:00) - Welcome to Cyber Sentries
(00:22) - Meet Thomas Johnson
(01:02) - AI Background
(01:58) - Neural Networks
(02:47) - Current Buzz
(04:43) - Integrating AI
(07:41) - Improving AI
(10:57) - Think About the Problem and Data
(12:25) - If Data Is the Problem
(14:00) - Securities and Access
(15:50) - RAG Model
(17:52) - Open Source v. Proprietary
(19:20) - Training and Inference Side
(20:35) - Multiplayer
(21:43) - Wrap Up

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Cyber Sentries: AI Insight to Cloud Security