OPSOPS-001 — Monitoring and Alerting Inadequacies
LLMs Generating Insecure Code at Scale Across Model Families
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models, including advanced coding-optimised variants, systematically produce code containing security vulnerabilities. Organisations deploying AI-assisted development face elevated software supply-chain risk without rigorous human review and security testing controls.
Domain
Operational Management
Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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