AIBlindspot
← All case studies
OPSOPS-001 — Monitoring and Alerting Inadequacies

LLM Robustness Failures in Government Operations

4/5Sector: GovernmentGeography: GlobalStage: OperateIngested: —

Executive Summary

Government-deployed LLMs are vulnerable to adversarial prompt manipulation, data poisoning through public training sources, and degraded accuracy as facts change over time. These weaknesses expose agencies to misinformation risks, operational failures, and potential exploitation by malicious actors.

Domain

Operational Management

Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.

Source

MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024) ↗

https://airisk.mit.edu/

Could this happen in your organisation?

A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.