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Securing AI in Production: AWS Bedrock & Agentic Workflows
from Security Sutra – Cybersecurity Startups and Venture Capital by Startuprad.io™ Hosted by Jörn "Joe" Menninger
AWS AI Engineering Specialist Dennis Traub joins Jörn "Joe" Menninger on the hard truths of moving from a GenAI prototype to production — scaling, securing, and monitoring AI systems with Bedrock, MCP, and agentic workflows. Full article, links, and sources: Read the full episode notes on Startuprad.io Why this matters for cybersecurity: Securing and monitoring AI systems in production is core AI-security work: as startups ship autonomous agents, the ability to run them safely at scale is a security discipline this feed tracks closely. In this episode, we cover: Dennis Traub (AWS) on productionizing GenAI systems Securing and monitoring AI at scale AWS Bedrock, MCP, and agentic workflows The hard truths behind prototype-to-production Why safe scaling is an AI-security discipline What it takes for AI startups to run reliably Related Security Sutra episodes: Agentic AI & EU AI Act Trust: Jennifer Grün (AWS) on… · AI Monetization for Startups: AWS's Jennifer Grün on… For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm If your security company or fund wants to reach European cybersecurity founders, CISOs, and investors, partner with Startuprad.io. Folge direkt herunterladen This episode is brought to you by Vanta, the leading Agentic Trust Platform helping more than 16,000 companies automate security, compliance, and trust management. Learn more: https://vanta.com/startupradio --- © Startuprad.io™ – All Rights Reserved | AI & research reference → https://www.startuprad.io/llm
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What this episode covers
What does it really take to move from a GenAI prototype to a production-ready system? In this episode, AWS AI Engineering Specialist Dennis Traub breaks down the hard truths behind scaling, securing, and monitoring AI systems — and why the future belongs to startups who learn how to productionize AI fast. What You’ll Learn in This Episode: Why most GenAI prototypes fail when pushed to production The role of MCP (Model Context Protocol) in securely connecting AI to APIs How agentic workflows differ from simple prompt chains Why observability and cost monitoring are non-negotiable for startups The AWS Bedrock + Agent Core stack for startups scaling AI in Europe Counterintuitive lessons: when not to use AI 🚀 Meet Our Sponsor AWS Startups is a proud sponsor of this week’s episode of Startuprad.io. Visit startups.aws to find out how AWS can help you prove what’s possible in your industry. The AWS Startups team comprises former founders and CTOs, venture capitalists, angel investors, and mentors ready to help you prove what’s possible. Since 2013, AWS has supported over 280,000 startups across the globe and provided $7Billion in credits through the AWS Activate program. Big ideas feel at home on AWS, and with access to cutting-edge technologies like generative AI, you can quickly turn those ideas into marketable products. Want your own AI-powered assistant? Try Amazon Q. Want to build your own AI products? Privately customize leading foundation models on Amazon Bedrock. Want to reduce the cost of AI workloads? AWS Trainium is the silicon you’re looking for. Whatever your ambitions, you’ve already had the idea, now prove it’s possible on AWS. Visit aws.amazon.com/startups to get started. Guest: Dennis Traub, AI Engineering Specialist at AWS Full Blog Post: https://www.startuprad.io/post/how-startups-can-succeed-at-productionizingai-without-breaking-at-scale Youtube Full Video: https://youtu.be/UkYwxbM_834 ✉️ Work with us: [email protected] Subscribe across platforms: https://linktr.ee/startupradio 💬 Feedback: https://forms.gle/Qp53eVuc9P1RMqWj8 💼 Follow Jörn on LinkedIn: http://www.linkedin.com/comm/mynetwork/discovery-see-all?usecase=PEOPLE_FOLLOWS&followMember=joernmenninger
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