language model security

The language model security tag on WindowsForum covers threats and defenses for large language models (LLMs) in enterprise and developer contexts. Recent discussions include Microsoft's open‑weights scanner for detecting backdoored LLMs, which identifies model‑level poisoning signatures without retraining. Another thread reveals that AI guardrails from Microsoft, Nvidia, and Meta are vulnerable to emoji‑based bypass attacks, allowing prompt injection and jailbreak evasion. These posts highlight practical supply‑chain risks and emerging attack vectors, emphasizing the need for robust security measures in AI deployments. The tag focuses on concrete vulnerabilities, detection tools, and mitigation strategies relevant to IT professionals and security researchers.