aiqbench analysis

The reported "Critical Copilot" incident highlights a fundamental gap in securing Large Language Model interfaces, where attackers exploited system prompts or backend logic rather than model weights themselves. This underscores that current AI safety frameworks often fail to account for supply chain vulnerabilities and prompt injection vectors inherent in cloud-based LLM deployments. For the industry, this reinforces the need for rigorous adversarial testing specifically targeting orchestration layers before generalizing security claims around generative models.