Pennsylvania state police corporal Stephen Kamnik, 39, pleaded guilty to nine felonies and six misdemeanors after creating over 3,000 AI-generated deepfake pornographic images using illicitly obtained photos. Many of the deepfakes targeted women whose faces were extracted from state databases, including driver’s license photos pulled from the JNET system. Kamnik also secretly filmed coworkers and edited a video of a Montgomery County judge for lewd purposes.

Kamnik exploited JNET database access despite policies prohibiting personal use, violating rules that restrict searches to official duties. Investigators discovered he used state-owned devices at police barracks to generate explicit content, including a manipulated video of a judicial proceeding. The scheme began in 2024 when IT staff flagged abnormal bandwidth usage on his work computer, leading to forensic analysis of his devices.

The Pennsylvania attorney general stated Kamnik’s crimes included possessing child sexual abuse material and stealing a firearm. He admitted to using AI tools to create deepfakes for “personal sexual gratification,” including images of a court official. Prosecutors emphasized the violation of public trust, noting the misuse of law enforcement resources for illicit activities.

Kamnik’s case highlights systemic risks of AI misuse in sensitive sectors. While no specific dollar figures were disclosed, the scale of data breaches and the involvement of judicial figures underscore the need for stricter oversight of biometric databases and AI tools in law enforcement.