#deepfake-detection

An employee in Hong Kong watched her CFO and several colleagues join a video call. Familiar faces. Familiar voices. She wired $25.6 million across 15 transactions. Every face on that call was synthetic. That's the IMINT deepfake problem in one sentence. Not a future risk. Not a research paper. A line item on a forensic…

Pixels lie. The job is to make them confess. IMINT forensics is the part of imagery intelligence that doesn't care what the picture shows — it cares what the file betrays. Every edit leaves a fingerprint somewhere: in the compression grid, in the sensor noise, in a shadow that points the wrong way. A working analyst …