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

Adversarial Training Produces Models That Become Less Robust Over Time

3/5Sector: OtherGeography: GlobalStage: DevelopIngested: —

Executive Summary

Models hardened against adversarial attacks can deteriorate in resilience as training progresses, leaving deployed systems more vulnerable than testing indicated. Organisations relying on adversarial training as a security assurance measure may hold false confidence in their AI defences.

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/

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.