The AI Control Loop: Detection is not Enough - with Tim Ebbers of Wallarm

The AI Control Loop: Detection is not Enough - with Tim Ebbers of Wallarm

Author: Noah Labhart | Podcast for Technical Founders & Startups July 1, 2026 Duration: 13:03
Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they've already deployed - sponsored by our friends at Wallarm. Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds. In his follow up appearance on the Code Story podcast, Tim Ebbers, Field CTO at Wallarm, discusses why detection alone is insufficient for AI-driven systems, what real enforcement looks like at the runtime level, and what accountability becomes possible once all four stages are in place.

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Behind every successful software product is a story, often untold, about the pivotal choices and challenges that shaped its journey. Code Story: Insights from Startup Tech Leaders brings those narratives to the forefront, hosted by Noah Labhart, a startup founder and CTO who understands the terrain. This podcast moves beyond theory to focus on the real-world experiences of SaaS founders, engineers, and product leaders. You'll hear firsthand accounts of building an initial MVP, the grind of securing those crucial first customers, and the delicate process of finding true product-market fit. Conversations delve into the technical and strategic crossroads that define early growth, from foundational engineering decisions and pricing experiments to the unforeseen infrastructure bottlenecks that emerge when scaling accelerates. It’s a resource for technical founders in the trenches, offering practical insights into navigating the complexities of building, launching, and growing a software business. Each episode of this podcast serves as a candid case study, revealing the lessons learned behind the code.
Author: Language: en-us Episodes: 50

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