The original title is "Managing Vulnerability Debt in the Age of AI Coding Assistants"

Short summary

AI coding assistants now generate 27-42% of committed code, but introduce vulnerabilities at 2.74x the rate of human-written code, with security pass rates stuck around 55%. The article surveys the landscape of AI-generated code vulnerabilities and proposes a blueprint of automated triage, intelligent alert grouping, and strict SLA-tracking to manage the resulting security debt. It also advocates for cultivating secure prompting practices across engineering teams.

• •AI-generated code carries 2.74x more vulnerabilities than human-written code, with 45% of AI coding tasks introducing security flaws
• •Security pass rates remain ~55% despite syntax correctness exceeding 95% — models optimize for functional correctness over safety
• •Proposed remediation blueprint: automated triage, contextual alert grouping, SLA-tracking, and secure prompting practices

Generated with AI, which can make mistakes.