Generative video is an AI system that creates moving images from prompts, still images, or reference clips. It may synthesize an entire scene, extend existing footage, or alter specific elements such as faces, backgrounds, motion, or lighting. In practice, the visible app is often only the front end; the real work may happen in a hidden model backend with separate safety filters, logging, and data-retention rules.
In cyber security, generative video matters because it changes how organizations assess authenticity, privacy, and trust. Attackers can use it for impersonation, deceptive training material, social engineering, or synthetic evidence that looks real enough to bypass casual review. Defenders use the same technology for simulation, content moderation, and media forensics, but they must verify provenance, control uploads, and understand where prompts and clips are processed. The key security question is not just what the tool can generate, but which systems see the data and what controls apply along the pipeline.