AI isn’t quietly changing software development… it’s rewriting the rules while most security programs are still playing defense. When agents write code at machine speed, the real risk isn’t velocity, it’s invisible security debt compounding faster than teams can see it.

In this episode, Ron Eddings sits down with Varun Badhwar, Co-Founder & CEO of Endor Labs, and Henrik Plate, Principal Security Researcher of Endor Labs, to break down how AI-assisted development is reshaping the software supply chain in real time. From MCP servers exploding across GitHub to agents trained on insecure code patterns, they analyze why traditional AppSec controls fail in an agent-driven world and what must replace them.

This conversation pulls directly from Endor Labs’ 2025 State of Dependency Management Report, revealing why most AI-generated code is functionally correct yet fundamentally unsafe, how malicious packages are already exploiting agent workflows, and why security has to exist inside the IDE, not after the pull request.

Impactful Moments 00:00 – Introduction 02:00 – Star Wars meets cybersecurity culture 03:00 – Why this report matters now 04:00 – MCP adoption explodes overnight 10:00 – Can you trust MCP servers 12:00 – Malicious packages weaponize agents 14:00 – Code works, security fails 22:00 – Hooks expose agent behavior 28:30 – 2026 means longer lunches 33:00 – How Endor Labs fixes this

Links Connect with our Varun on LinkedIn: https://www.linkedin.com/in/vbadhwar/

Connect with our Henrik on LinkedIn: https://www.linkedin.com/in/henrikplate/

Check out Endor Labs State of Dependency Management 2025: https://www.endorlabs.com/lp/state-of-dependency-management-2025

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