Vision Language Models Keep an Eye on Physical Security

**Executive summary:** Vision-language models (VLMs) have improved in scene understanding, temporal reasoning, and integration with downstream tools, enabling enterprise physical-security use cases such as natural-language video queries, access-control correlation, abnormal-activity detection, and more efficient investigations; however, the article emphasizes that VLMs still need stronger guardrails, privacy protections, adversarial defenses, and human oversight—especially in high-stakes domains like medical imaging where limits such as poor negation understanding can cause harm.