The London-based cybersecurity upstart uses military-grade neural web connection technology to detect deepfakes.
To maximise its effectiveness, we focused on accuracy and speed, said Ziv Yankowitz, Surf Securitys CTO.
The tools neural web connection is trained using deepfakes createdby the top AI voice cloning platforms, he said.
The system has an integrated background noise reduction feature to clear up audio before processing.
It can spot a deepfake audio in less than 2 seconds, said Yankowitz.
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Surf said it will also add AI image detection to the browsers toolkit in the future.
This is just the tip of an ugly iceberg.
AI voice cloning software becomes more capable by the day, admitted Yankowitz.
So like all of cybersecurity, we are committing to winning an ever-evolving arms race.
Surf expects to release the full version of its deepfake detector early next year.
Story bySion Geschwindt
Sion is a freelance science and technology reporter, specialising in climate and energy.
