
Why AI Infrastructure is Harder to Secure Than Cloud
From Cloud Security Podcast by TechRiot.io
February 20, 2026 · 34 min · Season 7 · Episode 11
About this episode
Toni De La Fuente discusses the unique security challenges posed by AI infrastructure compared to traditional cloud security.
Is AI security just "Cloud Security 2.0"? Toni De La Fuente , creator of the open-source tool Prowler , joins Ashish to explain why securing AI workloads requires a fundamentally different approach than traditional cloud infrastructure. We dive deep into the "Shared Responsibility Gap" emerging with managed AI services like AWS Bedrock and OpenAI. Toni spoke about the hidden dangers of default AI architectures, why you should never connect an MCP (Model Context Protocol) directly to a database. We discuss the new AI-driven SDLC, where tools like Claude Code can generate infrastructure but also create massive security blind spots if not monitored. Guest Socials - Toni's Linkedin Podcast Twitter - @CloudSecPod If…
People in this episode
Host: Ashish
Guest: Toni De La Fuente
Topics covered
- AI security
- cloud security
- managed AI services
- infrastructure security
- shared responsibility model
- security blind spots
Keywords
- AI infrastructure
- cloud security
- security challenges
- managed services
- default AI architectures
- MCP
- SDLC
- security blind spots
Mentioned in this episode
Organizations: AWS Bedrock, OpenAI
Products: Prowler, Claude Code
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- How Claude Mythos Changes Vulnerability Management: From CVSS to Exploitability · May 5, 2026 · 45 min
- AISPM Isn't Enough: How to Apply Zero Trust to AI Agents · April 29, 2026 · 54 min
- The Rise of Agentic Cloud Security: Code-to-Cloud Shrinks to 3 Days · April 21, 2026 · 27 min
- Why EDR Fails at AI Security & The Rise of Endpoint Behavior Modeling · April 14, 2026 · 31 min
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