If deepfakes keep improving, cybersecurity professionals won’t be able to defeat them by asking someone on a video call to hold up three fingers or turn off filters—but nor can they check for a pulse like a harried physician in HBO’s The Pitt. What solutions can they turn to? This deepfake evolution, with the accompanying need to boost fraud detection, according to two industry leaders, could happen within the next two years. Right now, if someone is using a live deepfake to try and deceive an organization, humans can recognize inconsistencies; for example, deepfaked people can have distorted edges, depending on the lighting, or their mouth movement may not quite match their speech. John Ansbach, managing director at LevelBlue company Stroz Friedberg, which specializes in digital forensic and security investigations, told IT Brew that professionals are rapidly approaching a time when automated tools will have to take over deepfake detection from humans. Next up in deepfakes’ evolution.—CN |