Your Vulnerability Backlog Is No Longer Technical Debt, It’s an Attack Surface

Security vulnerability backlogs have traditionally been treated as manageable technical debt because organizations assumed most lower-severity findings would never be exploited, but the text argues that faster AI-assisted code production, reduced ability to consult code authors, and automated attacker reconnaissance have weakened that assumption. It contends that accepted low-severity issues can be combined into serious attack paths, making backlogs an attacker-visible surface rather than merely a prioritized queue. Better prioritization alone cannot reduce a backlog when new findings outpace remediation, so organizations should measure actual inflow and closure rates, reassess old risk acceptances, track the proportion of AI-authored code, and examine whether proposed security fixes are actually merged. The proposed approach emphasizes preventing vulnerabilities during development, automating remediation where possible, and validating fixes reliably so that remediation exceeds new vulnerability creation and the backlog can shrink.

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