AI Coding and Open Source Risk: What the Data Actually Shows About Remediation Debt

The State of AI Code Risk: How 300 Enterprise Leaders are Managing the Fallout

Sign Up Now
Join the Webinar
loader
About this webinar

AI coding tools have quietly become a rapidly growing source of unvetted open source in production environments. Security and engineering teams are inheriting the debt: packages they didn't approve, vulnerabilities they don't know how to prioritize, and exposure they can't maintain control over.

ActiveState surveyed 300 security and engineering leaders across technology, financial services, healthcare, manufacturing, and government to determine how governance models are holding up in this new landscape. The research quantifies the acceleration of remediation backlogs and maps that directly to liability and business outcomes.

In the second half, ActiveState's Rebecca Banks and Moris Chen move from data to practice, drawing on direct experience with enterprise security and engineering teams navigating this problem at scale. They discuss which approaches mitigate remediation burden and which ones might just redistribute it.

You'll leave with:

  • A peer benchmark on how security remediation is holding up against AI-driven open-source volume, and what's ahead as agentic AI evolves.
  • A framework connecting open-source debt to audit failure, breach frequency, and productivity loss, backed by concrete data.
  • A practitioner perspective on which governance models are working and which ones are introducing new categories of risk.

Featuring:

  • Moris Chen, VP of Customer Success, ActiveState
  • Rebecca Banks, Senior PMM, ActiveState