The broader security landscape is characterized by an ongoing arms race between deepfake generators and detection technologies. Brundage et al. (2018) argue that this dynamic mirrors earlier challenges in cybersecurity, where defenders must constantly adapt to new offensive capabilities. While government agencies and private firms such as DARPA, Microsoft, and Google have invested heavily in deepfake detection, progress remains fragmented. According to the 2024 IEEE Access study, even the most advanced detection systems struggle to keep pace with rapidly improving generative models. Until detection tools are both reliable and widely available, the risk of courtroom misuse remains acute.