MCP tools and AI risks: The case for slow, secure adoption

Remember when APIs were quiet little endpoints that waited politely for humans to click buttons? Yeah, that’s over. Now you’ve got swarms of LLM agents duct-taping tools together like caffeinated interns on Red Bull, firing off recursive calls at 3 a.m., and cheerfully melting your infrastructure while insisting everything is “working as intended.” Observability dashboards are screaming, rate limits are sobbing in the corner, and your security model still thinks it’s guarding humans instead of self-directed toolchains with the attention span of a squirrel and root access. Welcome to the new game: not keeping the stack up, but keeping it from eating itself.

In this episode of Pop Goes the Stack, F5's Lori MacVittie and returning guest Connor Hicks discuss the rapid adoption of MCP and the risks of going too fast without considering security, governance, and supply chain pitfalls. Listen now to take control of MCP tools and AI agents before they take over.

And after you've listened to the episode, check out our WebAssembly Unleashed podcast: https://youtube.com/playlist?list=PLyqga7AXMtPNV1zr2aTWEegep0FQU6Qvj&si=YZkHT7VeqfrANeZO

Creators and Guests

Lori MacVittie
Host
Lori MacVittie
Distinguished Engineer and Chief Evangelist at F5, Lori has more than 25 years of industry experience spanning application development, IT architecture, and network and systems' operation. She co-authored the CADD profile for ANSI NCITS 320-1998 and is a prolific author with books spanning security, cloud, and enterprise architecture.
Connor Hicks
Guest
Connor Hicks
Connor has been working in cloud security for over a decade, starting with building enterprise security products at 1Password. He then founded a company called Suborbital focused on securing untrusted code in the cloud with WebAssembly which was acquired by F5 in 2023, where he now works on AI security as an Architect.
Tabitha R.R. Powell
Producer
Tabitha R.R. Powell
Technical Thought Leadership Evangelist producing content that makes complex ideas clear and engaging.
MCP tools and AI risks: The case for slow, secure adoption
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