A developer encountered significant issues with AI models and safety filters while building an agent for supplier onboarding. The commercial safety filter from Google Cloud's Model Armor failed to detect a prompt injection attack embedded within a document, specifically when the malicious text exceeded 108 characters. Additionally, an API parameter intended to limit the model's reasoning budget acted as a complete shut-off switch, a behavior discovered by observing an unexpected zero value. A newly released model also passed initial small-scale tests but failed the actual workload twice, highlighting the limitations of standard smoke tests. AI
IMPACT Highlights critical vulnerabilities in AI safety filters and reasoning budget controls, suggesting a need for more robust testing and validation.
RANK_REASON Developer's personal experience building an AI agent, detailing flaws in existing tools and models.
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