Deepfake detectors are coming of age, at a time of dire need

Deepfake detection technology is advancing but still imperfect, with current systems achieving about 90% accuracy as fraud threats grow. Deloitte estimates deepfake fraud will cost the US up to $40 billion by 2027, while experts warn that image manipulation is particularly concerning for banking verification and voice cloning has become disturbingly convincing, prompting new detection methods that analyze metadata, edge quality, and pixel variance.