Shipping More AI Code Than You Can Secure? Watch How to Control Remediation Debt

AI coding tools are introducing open-source dependencies faster than security teams can evaluate, track, or remediate them, creating a growing backlog of unresolved vulnerabilities known as 'remediation debt.' Enterprise teams are failing audits and experiencing higher breach frequencies because the pace of AI-assisted development has fundamentally outstripped traditional vulnerability management workflows. Open-source packages carry inherited risks from their own dependency trees, meaning a single AI-suggested library can introduce dozens of transitive vulnerabilities. Without governance controls on how AI tools select and import packages, organizations are effectively ceding software supply chain decisions to automated systems with no security context. This matters because unmanaged remediation debt compounds over time, making it exponentially harder and more costly to secure systems retroactively.