AI Coding and Open Source Risk: Managing Remediation Debt in Enterprise Security

As AI coding tools accelerate software development, they also introduce open-source dependencies at a pace that can overwhelm security teams, leading to a growing backlog of unresolved vulnerabilities—what experts call remediation debt. A new webinar from ActiveState, based on a survey of 300 enterprise leaders, examines how organizations are coping with this challenge.

The webinar, titled ‘AI Coding and Open Source Risk,’ highlights that the core issue isn’t AI itself but the rapid integration of third-party packages into environments. Each new dependency requires assessment of vulnerabilities, licensing, maintenance, and ownership. When security work accumulates faster than teams can address it, remediation debt grows, potentially leading to audit failures, increased breach frequency, and lost productivity.

ActiveState’s Rebecca Banks and Moris Chen will break down how AI coding is changing remediation workloads, how your program compares with peers, where debt impacts security outcomes, and which governance models are effective. The session offers practical insights for security and engineering teams looking to adapt before AI-generated code scales further.

This webinar is a contributed piece from ActiveState, a partner of The Hacker News. It provides a data-driven look at the evolving risk landscape and actionable strategies for managing open-source security in the age of AI.